Class: Vips::Image
- Inherits:
-
Object
- Object
- Vips::Image
- Defined in:
- lib/vips/image.rb,
lib/vips/methods.rb
Overview
This class represents a libvips image. See the Vips module documentation for an introduction to using this module.
Instance Attribute Summary collapse
-
#bands ⇒ Integer
readonly
Image bands.
-
#coding ⇒ Vips::Coding
readonly
Image coding.
-
#filename ⇒ String
readonly
Image filename.
-
#format ⇒ Vips::BandFormat
readonly
Image format.
-
#height ⇒ Integer
readonly
Image height, in pixels.
-
#interpretation ⇒ Vips::Interpretation
readonly
Image interpretation.
-
#width ⇒ Integer
readonly
Image width, in pixels.
-
#xres ⇒ Float
readonly
Horizontal image resolution, in pixels per mm.
-
#yres ⇒ Float
readonly
Vertical image resolution, in pixels per mm.
Class Method Summary collapse
-
.analyzeload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load an analyze6 image.
-
.arrayjoin ⇒ Vips::Image
Join an array of images.
-
.bandrank ⇒ Vips::Image
Band-wise rank of a set of images.
-
.black(width, height, opts = {}) ⇒ Vips::Image
Make a black image.
-
.csvload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load csv from file.
-
.eye(width, height, opts = {}) ⇒ Vips::Image
Make an image showing the eye's spatial response.
-
.fitsload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load a fits image.
-
.fractsurf(width, height, fractal_dimension, opts = {}) ⇒ Vips::Image
Make a fractal surface.
-
.gaussmat(sigma, min_ampl, opts = {}) ⇒ Vips::Image
Make a gaussian image.
-
.gaussnoise(width, height, opts = {}) ⇒ Vips::Image
Make a gaussnoise image.
-
.gifload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load gif with giflib.
-
.gifload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load gif with giflib.
-
.grey(width, height, opts = {}) ⇒ Vips::Image
Make a grey ramp image.
-
.identity(opts = {}) ⇒ Vips::Image
Make a 1d image where pixel values are indexes.
-
.jpegload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load jpeg from file.
-
.jpegload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load jpeg from buffer.
-
.logmat(sigma, min_ampl, opts = {}) ⇒ Vips::Image
Make a laplacian of gaussian image.
-
.magickload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load file with imagemagick.
-
.magickload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load buffer with imagemagick.
-
.mask_butterworth(width, height, order, frequency_cutoff, amplitude_cutoff, opts = {}) ⇒ Vips::Image
Make a butterworth filter.
-
.mask_butterworth_band(width, height, order, frequency_cutoff_x, frequency_cutoff_y, radius, amplitude_cutoff, opts = {}) ⇒ Vips::Image
Make a butterworth_band filter.
-
.mask_butterworth_ring(width, height, order, frequency_cutoff, amplitude_cutoff, ringwidth, opts = {}) ⇒ Vips::Image
Make a butterworth ring filter.
-
.mask_fractal(width, height, fractal_dimension, opts = {}) ⇒ Vips::Image
Make fractal filter.
-
.mask_gaussian(width, height, frequency_cutoff, amplitude_cutoff, opts = {}) ⇒ Vips::Image
Make a gaussian filter.
-
.mask_gaussian_band(width, height, frequency_cutoff_x, frequency_cutoff_y, radius, amplitude_cutoff, opts = {}) ⇒ Vips::Image
Make a gaussian filter.
-
.mask_gaussian_ring(width, height, frequency_cutoff, amplitude_cutoff, ringwidth, opts = {}) ⇒ Vips::Image
Make a gaussian ring filter.
-
.mask_ideal(width, height, frequency_cutoff, opts = {}) ⇒ Vips::Image
Make an ideal filter.
-
.mask_ideal_band(width, height, frequency_cutoff_x, frequency_cutoff_y, radius, opts = {}) ⇒ Vips::Image
Make an ideal band filter.
-
.mask_ideal_ring(width, height, frequency_cutoff, ringwidth, opts = {}) ⇒ Vips::Image
Make an ideal ring filter.
-
.matload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load mat from file.
-
.matrixload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load matrix from file.
-
.method_missing(name, *args) ⇒ Object
Invoke a vips operation with call.
-
.new_from_array(array, scale = 1, offset = 0) ⇒ Image
Create a new Image from a 1D or 2D array.
-
.new_from_buffer(data, option_string, opts = {}) ⇒ Image
Create a new Image for an image encoded, in a format such as JPEG, in a memory string.
-
.new_from_file(name, opts = {}) ⇒ Image
Return a new Image for a file on disc.
-
.openexrload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load an openexr image.
-
.openslideload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load file with openslide.
-
.pdfload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load pdf with libpoppler.
-
.pdfload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load pdf with libpoppler.
-
.perlin(width, height, opts = {}) ⇒ Vips::Image
Make a perlin noise image.
-
.pngload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load png from file.
-
.pngload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load png from buffer.
-
.ppmload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load ppm from file.
-
.radload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load a radiance image from a file.
-
.rawload(filename, width, height, bands, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load raw data from a file.
-
.sines(width, height, opts = {}) ⇒ Vips::Image
Make a 2d sine wave.
-
.sum ⇒ Vips::Image
Sum an array of images.
-
.svgload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load svg with rsvg.
-
.svgload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load svg with rsvg.
-
.system(cmd_format, opts = {}) ⇒ nil, Hash<Symbol => Object>
Run an external command.
-
.text(text, opts = {}) ⇒ Vips::Image
Make a text image.
-
.thumbnail(filename, width, opts = {}) ⇒ Vips::Image
Generate thumbnail from file.
-
.thumbnail_buffer(buffer, width, opts = {}) ⇒ Vips::Image
Generate thumbnail from buffer.
-
.tiffload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load tiff from file.
-
.tiffload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load tiff from buffer.
-
.tonelut(opts = {}) ⇒ Vips::Image
Build a look-up table.
-
.vipsload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load vips from file.
-
.webpload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load webp from file.
-
.webpload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load webp from buffer.
-
.worley(width, height, opts = {}) ⇒ Vips::Image
Make a worley noise image.
-
.xyz(width, height, opts = {}) ⇒ Vips::Image
Make an image where pixel values are coordinates.
-
.zone(width, height, opts = {}) ⇒ Vips::Image
Make a zone plate.
Instance Method Summary collapse
-
#! ⇒ Image
Equivalent to image ^ -1.
-
#!=(other) ⇒ Image
Compare inequality to nil, an image, constant or array.
-
#%(other) ⇒ Image
Remainder after integer division with an image, constant or array.
-
#&(other) ⇒ Image
Integer bitwise AND with an image, constant or array.
-
#*(other) ⇒ Image
Multiply an image, constant or array.
-
#**(other) ⇒ Image
Raise to power of an image, constant or array.
-
#+(other) ⇒ Image
Add an image, constant or array.
-
#+@ ⇒ Image
Image.
-
#-(other) ⇒ Image
Subtract an image, constant or array.
-
#-@ ⇒ Image
Equivalent to image * -1.
-
#/(other) ⇒ Image
Divide an image, constant or array.
-
#<(other) ⇒ Image
Relational less than with an image, constant or array.
-
#<<(other) ⇒ Image
Integer left shift with an image, constant or array.
-
#<=(other) ⇒ Image
Relational less than or equal to with an image, constant or array.
-
#==(other) ⇒ Image
Compare equality to nil, an image, constant or array.
-
#>(other) ⇒ Image
Relational more than with an image, constant or array.
-
#>=(other) ⇒ Image
Relational more than or equal to with an image, constant or array.
-
#>>(other) ⇒ Image
Integer right shift with an image, constant or array.
-
#[](index) ⇒ Image
Fetch bands using a number or a range.
-
#^(other) ⇒ Image
Integer bitwise EOR with an image, constant or array.
-
#abs(opts = {}) ⇒ Vips::Image
Absolute value of an image.
-
#acos ⇒ Image
Return the inverse cosine of an image in degrees.
-
#add(right, opts = {}) ⇒ Vips::Image
Add two images.
-
#affine(matrix, opts = {}) ⇒ Vips::Image
Affine transform of an image.
-
#asin ⇒ Image
Return the inverse sine of an image in degrees.
-
#atan ⇒ Image
Return the inverse tangent of an image in degrees.
-
#autorot(opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Autorotate image by exif tag.
-
#avg(opts = {}) ⇒ Float
Find image average.
-
#bandand ⇒ Image
AND the bands of an image together.
-
#bandbool(boolean, opts = {}) ⇒ Vips::Image
Boolean operation across image bands.
-
#bandeor ⇒ Image
EOR the bands of an image together.
-
#bandfold(opts = {}) ⇒ Vips::Image
Fold up x axis into bands.
-
#bandjoin(other) ⇒ Image
Join a set of images bandwise.
-
#bandjoin_const(c, opts = {}) ⇒ Vips::Image
Append a constant band to an image.
-
#bandmean(opts = {}) ⇒ Vips::Image
Band-wise average.
-
#bandor ⇒ Image
OR the bands of an image together.
-
#bandsplit ⇒ Array<Image>
Split an n-band image into n separate images.
-
#bandunfold(opts = {}) ⇒ Vips::Image
Unfold image bands into x axis.
-
#boolean(right, boolean, opts = {}) ⇒ Vips::Image
Boolean operation on two images.
-
#boolean_const(boolean, c, opts = {}) ⇒ Vips::Image
Boolean operations against a constant.
-
#buildlut(opts = {}) ⇒ Vips::Image
Build a look-up table.
-
#byteswap(opts = {}) ⇒ Vips::Image
Byteswap an image.
-
#cache(opts = {}) ⇒ Vips::Image
Cache an image.
-
#cast(format, opts = {}) ⇒ Vips::Image
Cast an image.
-
#ceil ⇒ Image
Return the smallest integral value not less than the argument.
-
#CMC2LCh(opts = {}) ⇒ Vips::Image
Transform lch to cmc.
-
#colourspace(space, opts = {}) ⇒ Vips::Image
Convert to a new colourspace.
-
#compass(mask, opts = {}) ⇒ Vips::Image
Convolve with rotating mask.
-
#complex(cmplx, opts = {}) ⇒ Vips::Image
Perform a complex operation on an image.
-
#complex2(right, cmplx, opts = {}) ⇒ Vips::Image
Complex binary operations on two images.
-
#complexform(right, opts = {}) ⇒ Vips::Image
Form a complex image from two real images.
-
#complexget(get, opts = {}) ⇒ Vips::Image
Get a component from a complex image.
-
#conj ⇒ Image
Return the complex conjugate of an image.
-
#conv(mask, opts = {}) ⇒ Vips::Image
Convolution operation.
-
#conva(mask, opts = {}) ⇒ Vips::Image
Approximate integer convolution.
-
#convasep(mask, opts = {}) ⇒ Vips::Image
Approximate separable integer convolution.
-
#convf(mask, opts = {}) ⇒ Vips::Image
Float convolution operation.
-
#convi(mask, opts = {}) ⇒ Vips::Image
Int convolution operation.
-
#convsep(mask, opts = {}) ⇒ Vips::Image
Seperable convolution operation.
-
#copy(opts = {}) ⇒ Vips::Image
Copy an image.
-
#cos ⇒ Image
Return the cosine of an image in degrees.
-
#countlines(direction, opts = {}) ⇒ Float
Count lines in an image.
-
#csvsave(filename, opts = {}) ⇒ nil
Save image to csv file.
-
#dE00(right, opts = {}) ⇒ Vips::Image
Calculate de00.
-
#dE76(right, opts = {}) ⇒ Vips::Image
Calculate de76.
-
#dECMC(right, opts = {}) ⇒ Vips::Image
Calculate decmc.
-
#deviate(opts = {}) ⇒ Float
Find image standard deviation.
-
#dilate(mask) ⇒ Image
Dilate with a structuring element.
-
#divide(right, opts = {}) ⇒ Vips::Image
Divide two images.
-
#draw_circle(ink, cx, cy, radius, opts = {}) ⇒ Vips::Image
Draw a circle on an image.
-
#draw_flood(ink, x, y, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Flood-fill an area.
-
#draw_image(sub, x, y, opts = {}) ⇒ Vips::Image
Paint an image into another image.
-
#draw_line(ink, x1, y1, x2, y2, opts = {}) ⇒ Vips::Image
Draw a line on an image.
-
#draw_mask(ink, mask, x, y, opts = {}) ⇒ Vips::Image
Draw a mask on an image.
-
#draw_rect(ink, left, top, width, height, opts = {}) ⇒ Vips::Image
Paint a rectangle on an image.
-
#draw_smudge(left, top, width, height, opts = {}) ⇒ Vips::Image
Blur a rectangle on an image.
-
#dzsave(filename, opts = {}) ⇒ nil
Save image to deepzoom file.
-
#dzsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to dz buffer.
-
#embed(x, y, width, height, opts = {}) ⇒ Vips::Image
Embed an image in a larger image.
-
#erode(mask) ⇒ Image
Erode with a structuring element.
-
#exp ⇒ Image
Return e ** pixel.
-
#exp10 ⇒ Image
Return 10 ** pixel.
-
#extract_area(left, top, width, height, opts = {}) ⇒ Vips::Image
Extract an area from an image.
-
#extract_band(band, opts = {}) ⇒ Vips::Image
Extract band from an image.
-
#falsecolour(opts = {}) ⇒ Vips::Image
False-colour an image.
-
#fastcor(ref, opts = {}) ⇒ Vips::Image
Fast correlation.
-
#fitssave(filename, opts = {}) ⇒ nil
Save image to fits file.
-
#flatten(opts = {}) ⇒ Vips::Image
Flatten alpha out of an image.
-
#flip(direction, opts = {}) ⇒ Vips::Image
Flip an image.
-
#fliphor ⇒ Image
Flip horizontally.
-
#flipver ⇒ Image
Flip vertically.
-
#float2rad(opts = {}) ⇒ Vips::Image
Transform float rgb to radiance coding.
-
#floor ⇒ Image
Return the largest integral value not greater than the argument.
-
#freqmult(mask, opts = {}) ⇒ Vips::Image
Frequency-domain filtering.
-
#fwfft(opts = {}) ⇒ Vips::Image
Forward fft.
-
#gamma(opts = {}) ⇒ Vips::Image
Gamma an image.
-
#gaussblur(sigma, opts = {}) ⇒ Vips::Image
Gaussian blur.
-
#get(name) ⇒ Integer, GValue
Fetch a
GValuefrom an image. -
#get_typeof(name) ⇒ Integer
Fetch a
GTypefrom an image. -
#get_value(name) ⇒ Object
Get a metadata item from an image.
-
#getpoint(x, y, opts = {}) ⇒ Array<Double>
Read a point from an image.
-
#globalbalance(opts = {}) ⇒ Vips::Image
Global balance an image mosaic.
-
#grid(tile_height, across, down, opts = {}) ⇒ Vips::Image
Grid an image.
-
#hist_cum(opts = {}) ⇒ Vips::Image
Form cumulative histogram.
-
#hist_entropy(opts = {}) ⇒ Float
Estimate image entropy.
-
#hist_equal(opts = {}) ⇒ Vips::Image
Histogram equalisation.
-
#hist_find(opts = {}) ⇒ Vips::Image
Find image histogram.
-
#hist_find_indexed(index, opts = {}) ⇒ Vips::Image
Find indexed image histogram.
-
#hist_find_ndim(opts = {}) ⇒ Vips::Image
Find n-dimensional image histogram.
-
#hist_ismonotonic(opts = {}) ⇒ Boolean
Test for monotonicity.
-
#hist_local(width, height, opts = {}) ⇒ Vips::Image
Local histogram equalisation.
-
#hist_match(ref, opts = {}) ⇒ Vips::Image
Match two histograms.
-
#hist_norm(opts = {}) ⇒ Vips::Image
Normalise histogram.
-
#hist_plot(opts = {}) ⇒ Vips::Image
Plot histogram.
-
#hough_circle(opts = {}) ⇒ Vips::Image
Find hough circle transform.
-
#hough_line(opts = {}) ⇒ Vips::Image
Find hough line transform.
-
#HSV2sRGB(opts = {}) ⇒ Vips::Image
Transform hsv to srgb.
-
#icc_export(opts = {}) ⇒ Vips::Image
Output to device with icc profile.
-
#icc_import(opts = {}) ⇒ Vips::Image
Import from device with icc profile.
-
#icc_transform(output_profile, opts = {}) ⇒ Vips::Image
Transform between devices with icc profiles.
-
#ifthenelse(th, el, opts = {}) ⇒ Image
Select pixels from
thifselfis non-zero and fromelifselfis zero. -
#imag ⇒ Image
Return the imaginary part of a complex image.
-
#insert(sub, x, y, opts = {}) ⇒ Vips::Image
Insert image @sub into @main at @x, @y.
-
#invert(opts = {}) ⇒ Vips::Image
Invert an image.
-
#invertlut(opts = {}) ⇒ Vips::Image
Build an inverted look-up table.
-
#invfft(opts = {}) ⇒ Vips::Image
Inverse fft.
-
#join(in2, direction, opts = {}) ⇒ Vips::Image
Join a pair of images.
-
#jpegsave(filename, opts = {}) ⇒ nil
Save image to jpeg file.
-
#jpegsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to jpeg buffer.
-
#jpegsave_mime(opts = {}) ⇒ nil
Save image to jpeg mime.
-
#Lab2LabQ(opts = {}) ⇒ Vips::Image
Transform float lab to labq coding.
-
#Lab2LabS(opts = {}) ⇒ Vips::Image
Transform float lab to signed short.
-
#Lab2LCh(opts = {}) ⇒ Vips::Image
Transform lab to lch.
-
#Lab2XYZ(opts = {}) ⇒ Vips::Image
Transform cielab to xyz.
-
#labelregions(opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Label regions in an image.
-
#LabQ2Lab(opts = {}) ⇒ Vips::Image
Unpack a labq image to float lab.
-
#LabQ2LabS(opts = {}) ⇒ Vips::Image
Unpack a labq image to short lab.
-
#LabQ2sRGB(opts = {}) ⇒ Vips::Image
Convert a labq image to srgb.
-
#LabS2Lab(opts = {}) ⇒ Vips::Image
Transform signed short lab to float.
-
#LabS2LabQ(opts = {}) ⇒ Vips::Image
Transform short lab to labq coding.
-
#LCh2CMC(opts = {}) ⇒ Vips::Image
Transform lch to cmc.
-
#LCh2Lab(opts = {}) ⇒ Vips::Image
Transform lch to lab.
-
#linear(a, b, opts = {}) ⇒ Vips::Image
Calculate (a * in + b).
-
#linecache(opts = {}) ⇒ Vips::Image
Cache an image as a set of lines.
-
#log ⇒ Image
Return the natural log of an image.
-
#log10 ⇒ Image
Return the log base 10 of an image.
-
#mapim(index, opts = {}) ⇒ Vips::Image
Resample with an mapim image.
-
#maplut(lut, opts = {}) ⇒ Vips::Image
Map an image though a lut.
-
#match(sec, xr1, yr1, xs1, ys1, xr2, yr2, xs2, ys2, opts = {}) ⇒ Vips::Image
First-order match of two images.
-
#math(math, opts = {}) ⇒ Vips::Image
Apply a math operation to an image.
-
#math2(right, math2, opts = {}) ⇒ Vips::Image
Binary math operations.
-
#math2_const(math2, c, opts = {}) ⇒ Vips::Image
Binary math operations with a constant.
-
#matrixprint(opts = {}) ⇒ nil
Print matrix.
-
#matrixsave(filename, opts = {}) ⇒ nil
Save image to matrix file.
-
#max(opts = {}) ⇒ Float, Hash<Symbol => Object>
Find image maximum.
-
#maxpos ⇒ Real
Return the coordinates of the image maximum.
-
#measure(h, v, opts = {}) ⇒ Vips::Image
Measure a set of patches on a colour chart.
-
#median(size = 3) ⇒ Image
a median filter.
-
#merge(sec, direction, dx, dy, opts = {}) ⇒ Vips::Image
Merge two images.
-
#method_missing(name, *args) ⇒ Object
Invoke a vips operation with call, using self as the first input image argument.
-
#min(opts = {}) ⇒ Float, Hash<Symbol => Object>
Find image minimum.
-
#minpos ⇒ Real
Return the coordinates of the image minimum.
-
#morph(mask, morph, opts = {}) ⇒ Vips::Image
Morphology operation.
-
#mosaic(sec, direction, xref, yref, xsec, ysec, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Mosaic two images.
-
#mosaic1(sec, direction, xr1, yr1, xs1, ys1, xr2, yr2, xs2, ys2, opts = {}) ⇒ Vips::Image
First-order mosaic of two images.
-
#msb(opts = {}) ⇒ Vips::Image
Pick most-significant byte from an image.
-
#multiply(right, opts = {}) ⇒ Vips::Image
Multiply two images.
-
#new_from_image(value) ⇒ Image
A new image is created with the same width, height, format, interpretation, resolution and offset as self, but with every pixel set to the specified value.
-
#percent(percent, opts = {}) ⇒ Integer
Find threshold for percent of pixels.
-
#phasecor(in2, opts = {}) ⇒ Vips::Image
Calculate phase correlation.
-
#pngsave(filename, opts = {}) ⇒ nil
Save image to png file.
-
#pngsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to png buffer.
-
#polar ⇒ Image
Return an image with rectangular pixels converted to polar.
-
#ppmsave(filename, opts = {}) ⇒ nil
Save image to ppm file.
-
#premultiply(opts = {}) ⇒ Vips::Image
Premultiply image alpha.
-
#profile(opts = {}) ⇒ Array<] First non-zero pixel in column, First non-zero pixel in row
Find image profiles.
-
#project(opts = {}) ⇒ Array<] Sums of columns, Sums of rows
Find image projections.
-
#quadratic(coeff, opts = {}) ⇒ Vips::Image
Resample an image with a quadratic transform.
-
#rad2float(opts = {}) ⇒ Vips::Image
Unpack radiance coding to float rgb.
-
#radsave(filename, opts = {}) ⇒ nil
Save image to radiance file.
-
#radsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to radiance buffer.
-
#rank(width, height, index, opts = {}) ⇒ Vips::Image
Rank filter.
-
#rawsave(filename, opts = {}) ⇒ nil
Save image to raw file.
-
#rawsave_fd(fd, opts = {}) ⇒ nil
Write raw image to file descriptor.
-
#real ⇒ Image
Return the real part of a complex image.
-
#recomb(m, opts = {}) ⇒ Vips::Image
Linear recombination with matrix.
-
#rect ⇒ Image
Return an image with polar pixels converted to rectangular.
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#reduce(hshrink, vshrink, opts = {}) ⇒ Vips::Image
Reduce an image.
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#reduceh(hshrink, opts = {}) ⇒ Vips::Image
Shrink an image horizontally.
-
#reducev(vshrink, opts = {}) ⇒ Vips::Image
Shrink an image vertically.
-
#relational(right, relational, opts = {}) ⇒ Vips::Image
Relational operation on two images.
-
#relational_const(relational, c, opts = {}) ⇒ Vips::Image
Relational operations against a constant.
-
#remainder(right, opts = {}) ⇒ Vips::Image
Remainder after integer division of two images.
-
#remainder_const(c, opts = {}) ⇒ Vips::Image
Remainder after integer division of an image and a constant.
-
#replicate(across, down, opts = {}) ⇒ Vips::Image
Replicate an image.
-
#resize(scale, opts = {}) ⇒ Vips::Image
Resize an image.
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#rint ⇒ Image
Return the nearest integral value.
-
#rot(angle, opts = {}) ⇒ Vips::Image
Rotate an image.
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#rot180 ⇒ Image
Rotate by 180 degrees clockwise.
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#rot270 ⇒ Image
Rotate by 270 degrees clockwise.
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#rot45(opts = {}) ⇒ Vips::Image
Rotate an image.
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#rot90 ⇒ Image
Rotate by 90 degrees clockwise.
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#round(round, opts = {}) ⇒ Vips::Image
Perform a round function on an image.
-
#scale(opts = {}) ⇒ Vips::Image
Scale an image to uchar.
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#scaleimage(opts = {}) ⇒ Vips::Image
Scale an image to uchar.
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#scRGB2BW(opts = {}) ⇒ Vips::Image
Convert scrgb to bw.
-
#scRGB2sRGB(opts = {}) ⇒ Vips::Image
Convert an scrgb image to srgb.
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#scRGB2XYZ(opts = {}) ⇒ Vips::Image
Transform scrgb to xyz.
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#sequential(opts = {}) ⇒ Vips::Image
Check sequential access.
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#set(name, value) ⇒ Object
Set a
GValueon an image. -
#set_value(name, value) ⇒ Object
Set a metadata item on an image.
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#sharpen(opts = {}) ⇒ Vips::Image
Unsharp masking for print.
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#shrink(hshrink, vshrink, opts = {}) ⇒ Vips::Image
Shrink an image.
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#shrinkh(hshrink, opts = {}) ⇒ Vips::Image
Shrink an image horizontally.
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#shrinkv(vshrink, opts = {}) ⇒ Vips::Image
Shrink an image vertically.
-
#sign(opts = {}) ⇒ Vips::Image
Unit vector of pixel.
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#similarity(opts = {}) ⇒ Vips::Image
Similarity transform of an image.
-
#sin ⇒ Image
Return the sine of an image in degrees.
-
#size ⇒ Integer
Get the image size.
-
#smartcrop(width, height, opts = {}) ⇒ Vips::Image
Extract an area from an image.
-
#spcor(ref, opts = {}) ⇒ Vips::Image
Spatial correlation.
-
#spectrum(opts = {}) ⇒ Vips::Image
Make displayable power spectrum.
-
#sRGB2HSV(opts = {}) ⇒ Vips::Image
Transform srgb to hsv.
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#sRGB2scRGB(opts = {}) ⇒ Vips::Image
Convert an srgb image to scrgb.
-
#stats(opts = {}) ⇒ Vips::Image
Find image average.
-
#stdif(width, height, opts = {}) ⇒ Vips::Image
Statistical difference.
-
#subsample(xfac, yfac, opts = {}) ⇒ Vips::Image
Subsample an image.
-
#subtract(right, opts = {}) ⇒ Vips::Image
Subtract two images.
-
#tan ⇒ Image
Return the tangent of an image in degrees.
-
#tiffsave(filename, opts = {}) ⇒ nil
Save image to tiff file.
-
#tiffsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to tiff buffer.
-
#tilecache(opts = {}) ⇒ Vips::Image
Cache an image as a set of tiles.
-
#to_a ⇒ Array
Convert to an Array.
-
#unpremultiply(opts = {}) ⇒ Vips::Image
Unpremultiply image alpha.
-
#vipssave(filename, opts = {}) ⇒ nil
Save image to vips file.
-
#webpsave(filename, opts = {}) ⇒ nil
Save image to webp file.
-
#webpsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to webp buffer.
-
#wrap(opts = {}) ⇒ Vips::Image
Wrap image origin.
-
#write_to_buffer(format_string, opts = {}) ⇒ String
Write this image to a memory buffer.
-
#write_to_file(name, opts = {}) ⇒ Object
Write this image to a file.
-
#XYZ2Lab(opts = {}) ⇒ Vips::Image
Transform xyz to lab.
-
#XYZ2scRGB(opts = {}) ⇒ Vips::Image
Transform xyz to scrgb.
-
#XYZ2Yxy(opts = {}) ⇒ Vips::Image
Transform xyz to yxy.
-
#Yxy2XYZ(opts = {}) ⇒ Vips::Image
Transform yxy to xyz.
-
#zoom(xfac, yfac, opts = {}) ⇒ Vips::Image
Zoom an image.
-
#|(other) ⇒ Image
Integer bitwise OR with an image, constant or array.
-
#~ ⇒ Image
Equivalent to image ^ -1.
Dynamic Method Handling
This class handles dynamic methods through the method_missing method
#method_missing(name, *args) ⇒ Object
Invoke a vips operation with Vips.call, using self as the first input image argument.
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# File 'lib/vips/image.rb', line 413 def method_missing(name, *args) Vips::call_base name.to_s, self, "", args end |
Instance Attribute Details
#bands ⇒ Integer (readonly)
Returns image bands.
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# File 'lib/vips/image.rb', line 677
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#filename ⇒ String (readonly)
Returns image filename.
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# File 'lib/vips/image.rb', line 677
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#height ⇒ Integer (readonly)
Returns image height, in pixels.
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# File 'lib/vips/image.rb', line 677
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#interpretation ⇒ Vips::Interpretation (readonly)
Returns image interpretation.
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# File 'lib/vips/image.rb', line 677
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#width ⇒ Integer (readonly)
Returns image width, in pixels.
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# File 'lib/vips/image.rb', line 677
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#xres ⇒ Float (readonly)
Returns horizontal image resolution, in pixels per mm.
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# File 'lib/vips/image.rb', line 677
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#yres ⇒ Float (readonly)
Returns vertical image resolution, in pixels per mm.
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# File 'lib/vips/image.rb', line 677
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Class Method Details
.analyzeload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load an analyze6 image.
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# File 'lib/vips/methods.rb', line 878
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.black(width, height, opts = {}) ⇒ Vips::Image
Make a black image.
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# File 'lib/vips/methods.rb', line 542
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.csvload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load csv from file.
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# File 'lib/vips/methods.rb', line 830
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.eye(width, height, opts = {}) ⇒ Vips::Image
Make an image showing the eye's spatial response.
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# File 'lib/vips/methods.rb', line 598
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.fitsload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load a fits image.
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# File 'lib/vips/methods.rb', line 1125
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.fractsurf(width, height, fractal_dimension, opts = {}) ⇒ Vips::Image
Make a fractal surface.
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# File 'lib/vips/methods.rb', line 805
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.gaussmat(sigma, min_ampl, opts = {}) ⇒ Vips::Image
Make a gaussian image.
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# File 'lib/vips/methods.rb', line 580
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.gaussnoise(width, height, opts = {}) ⇒ Vips::Image
Make a gaussnoise image.
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# File 'lib/vips/methods.rb', line 550
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.gifload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load gif with giflib.
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# File 'lib/vips/methods.rb', line 960
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.gifload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load gif with giflib.
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# File 'lib/vips/methods.rb', line 972
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.grey(width, height, opts = {}) ⇒ Vips::Image
Make a grey ramp image.
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# File 'lib/vips/methods.rb', line 607
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.identity(opts = {}) ⇒ Vips::Image
Make a 1d image where pixel values are indexes.
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# File 'lib/vips/methods.rb', line 797
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.jpegload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load jpeg from file.
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# File 'lib/vips/methods.rb', line 1014
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.jpegload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load jpeg from buffer.
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# File 'lib/vips/methods.rb', line 1026
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.logmat(sigma, min_ampl, opts = {}) ⇒ Vips::Image
Make a laplacian of gaussian image.
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# File 'lib/vips/methods.rb', line 589
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.magickload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load file with imagemagick.
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# File 'lib/vips/methods.rb', line 1099
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.magickload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load buffer with imagemagick.
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# File 'lib/vips/methods.rb', line 1112
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.mask_butterworth(width, height, order, frequency_cutoff, amplitude_cutoff, opts = {}) ⇒ Vips::Image
Make a butterworth filter.
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# File 'lib/vips/methods.rb', line 672
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.mask_butterworth_band(width, height, order, frequency_cutoff_x, frequency_cutoff_y, radius, amplitude_cutoff, opts = {}) ⇒ Vips::Image
Make a butterworth_band filter.
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# File 'lib/vips/methods.rb', line 701
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.mask_butterworth_ring(width, height, order, frequency_cutoff, amplitude_cutoff, ringwidth, opts = {}) ⇒ Vips::Image
Make a butterworth ring filter.
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# File 'lib/vips/methods.rb', line 686
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.mask_fractal(width, height, fractal_dimension, opts = {}) ⇒ Vips::Image
Make fractal filter.
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# File 'lib/vips/methods.rb', line 759
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.mask_gaussian(width, height, frequency_cutoff, amplitude_cutoff, opts = {}) ⇒ Vips::Image
Make a gaussian filter.
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# File 'lib/vips/methods.rb', line 717
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.mask_gaussian_band(width, height, frequency_cutoff_x, frequency_cutoff_y, radius, amplitude_cutoff, opts = {}) ⇒ Vips::Image
Make a gaussian filter.
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# File 'lib/vips/methods.rb', line 744
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.mask_gaussian_ring(width, height, frequency_cutoff, amplitude_cutoff, ringwidth, opts = {}) ⇒ Vips::Image
Make a gaussian ring filter.
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# File 'lib/vips/methods.rb', line 730
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.mask_ideal(width, height, frequency_cutoff, opts = {}) ⇒ Vips::Image
Make an ideal filter.
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# File 'lib/vips/methods.rb', line 633
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.mask_ideal_band(width, height, frequency_cutoff_x, frequency_cutoff_y, radius, opts = {}) ⇒ Vips::Image
Make an ideal band filter.
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# File 'lib/vips/methods.rb', line 658
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.mask_ideal_ring(width, height, frequency_cutoff, ringwidth, opts = {}) ⇒ Vips::Image
Make an ideal ring filter.
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# File 'lib/vips/methods.rb', line 645
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.matload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load mat from file.
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# File 'lib/vips/methods.rb', line 1004
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.matrixload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load matrix from file.
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# File 'lib/vips/methods.rb', line 844
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.method_missing(name, *args) ⇒ Object
Invoke a vips operation with Vips.call.
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# File 'lib/vips/image.rb', line 418 def self.method_missing(name, *args) Vips::call_base name.to_s, nil, "", args end |
.new_from_array(array, scale = 1, offset = 0) ⇒ Image
Create a new Image from a 1D or 2D array. A 1D array becomes an
image with height 1. Use scale and offset to set the scale and
offset fields in the header. These are useful for integer
convolutions.
For example:
image = Vips::new_from_array [1, 2, 3]
or
image = Vips::new_from_array [
[-1, -1, -1],
[-1, 16, -1],
[-1, -1, -1]], 8
for a simple sharpening mask.
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# File 'lib/vips/image.rb', line 540 def self.new_from_array(array, scale = 1, offset = 0) # we accept a 1D array and assume height == 1, or a 2D array # and check all lines are the same length if not array.is_a? Array raise Vips::Error, "Argument is not an array." end if array[0].is_a? Array height = array.length width = array[0].length if not array.all? {|x| x.is_a? Array} raise Vips::Error, "Not a 2D array." end if not array.all? {|x| x.length == width} raise Vips::Error, "Array not rectangular." end array = array.flatten else height = 1 width = array.length end if not array.all? {|x| x.is_a? Numeric} raise Vips::Error, "Not all array elements are Numeric." end image = Vips::Image.matrix_from_array width, height, array if image == nil raise Vips::Error end # be careful to set them as double image.set_double 'scale', scale.to_f image.set_double 'offset', offset.to_f return image end |
.new_from_buffer(data, option_string, opts = {}) ⇒ Image
Create a new Vips::Image for an image encoded, in a format such as JPEG, in a memory string. Load options may be passed as strings, or appended as a hash. For example:
image = Vips::new_from_from_buffer memory_buffer, "shrink=2"
or alternatively:
image = Vips::new_from_from_buffer memory_buffer, "", :shrink => 2
The options available depend on the file format. Try something like:
$ vips jpegload_buffer
at the command-line to see the available options. Not all loaders support load from buffer, but at least JPEG, PNG and TIFF images will work.
Loading is fast: only enough of the image is loaded to be able to fill out the header. Pixels will only be decompressed when they are needed.
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# File 'lib/vips/image.rb', line 505 def self.new_from_buffer(data, option_string, opts = {}) loader = Vips::Foreign.find_load_buffer data if loader == nil raise Vips::Error end Vips::call_base loader, nil, option_string, [data, opts] end |
.new_from_file(name, opts = {}) ⇒ Image
Return a new Vips::Image for a file on disc. This method can load images in any format supported by vips. The filename can include load options, for example:
image = Vips::new_from_file "fred.jpg[shrink=2]"
You can also supply options as a hash, for example:
image = Vips::new_from_file "fred.jpg", :shrink => 2
The full set of options available depend upon the load operation that will be executed. Try something like:
$ vips jpegload
at the command-line to see a summary of the available options for the JPEG loader.
Loading is fast: only enough of the image is loaded to be able to fill out the header. Pixels will only be decompressed when they are needed.
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# File 'lib/vips/image.rb', line 458 def self.new_from_file(name, opts = {}) # very common, and Vips::filename_get_filename will segv if we pass # this if name == nil raise Error, "filename is nil" end filename = Vips::filename_get_filename name option_string = Vips:: name loader = Vips::Foreign.find_load filename if loader == nil raise Vips::Error end Vips::call_base loader, nil, option_string, [filename, opts] end |
.openexrload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load an openexr image.
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# File 'lib/vips/methods.rb', line 1135
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.openslideload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load file with openslide.
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# File 'lib/vips/methods.rb', line 1086
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.pdfload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load pdf with libpoppler.
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# File 'lib/vips/methods.rb', line 908
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.pdfload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load pdf with libpoppler.
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# File 'lib/vips/methods.rb', line 922
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.perlin(width, height, opts = {}) ⇒ Vips::Image
Make a perlin noise image.
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# File 'lib/vips/methods.rb', line 821
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.pngload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load png from file.
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# File 'lib/vips/methods.rb', line 984
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.pngload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load png from buffer.
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# File 'lib/vips/methods.rb', line 994
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.ppmload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load ppm from file.
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# File 'lib/vips/methods.rb', line 888
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.radload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load a radiance image from a file.
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# File 'lib/vips/methods.rb', line 898
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.rawload(filename, width, height, bands, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load raw data from a file.
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# File 'lib/vips/methods.rb', line 854
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.sines(width, height, opts = {}) ⇒ Vips::Image
Make a 2d sine wave.
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# File 'lib/vips/methods.rb', line 623
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.svgload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load svg with rsvg.
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# File 'lib/vips/methods.rb', line 936
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.svgload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load svg with rsvg.
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# File 'lib/vips/methods.rb', line 948
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.system(cmd_format, opts = {}) ⇒ nil, Hash<Symbol => Object>
Run an external command.
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# File 'lib/vips/methods.rb', line 4
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.thumbnail(filename, width, opts = {}) ⇒ Vips::Image
Generate thumbnail from file.
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# File 'lib/vips/methods.rb', line 1407
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.thumbnail_buffer(buffer, width, opts = {}) ⇒ Vips::Image
Generate thumbnail from buffer.
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# File 'lib/vips/methods.rb', line 1421
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.tiffload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load tiff from file.
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# File 'lib/vips/methods.rb', line 1060
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.tiffload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load tiff from buffer.
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# File 'lib/vips/methods.rb', line 1073
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.vipsload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load vips from file.
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# File 'lib/vips/methods.rb', line 868
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.webpload(filename, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load webp from file.
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# File 'lib/vips/methods.rb', line 1038
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.webpload_buffer(buffer, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Load webp from buffer.
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# File 'lib/vips/methods.rb', line 1049
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.worley(width, height, opts = {}) ⇒ Vips::Image
Make a worley noise image.
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# File 'lib/vips/methods.rb', line 813
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.xyz(width, height, opts = {}) ⇒ Vips::Image
Make an image where pixel values are coordinates.
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# File 'lib/vips/methods.rb', line 570
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.zone(width, height, opts = {}) ⇒ Vips::Image
Make a zone plate.
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# File 'lib/vips/methods.rb', line 615
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Instance Method Details
#! ⇒ Image
Equivalent to image ^ -1
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# File 'lib/vips/image.rb', line 886 def ! self ^ -1 end |
#!=(other) ⇒ Image
Compare inequality to nil, an image, constant or array.
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# File 'lib/vips/image.rb', line 960 def !=(other) # for equality, we must allow tests against nil if other == nil true else call_enum("relational", other, :noteq) end end |
#%(other) ⇒ Image
Remainder after integer division with an image, constant or array.
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# File 'lib/vips/image.rb', line 830 def %(other) other.is_a?(Vips::Image) ? remainder(other) : remainder_const(other) end |
#&(other) ⇒ Image
Integer bitwise AND with an image, constant or array.
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# File 'lib/vips/image.rb', line 871 def &(other) call_enum("boolean", other, :and) end |
#*(other) ⇒ Image
Multiply an image, constant or array.
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# File 'lib/vips/image.rb', line 812 def *(other) other.is_a?(Vips::Image) ? multiply(other) : linear(other, 0) end |
#**(other) ⇒ Image
Raise to power of an image, constant or array.
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# File 'lib/vips/image.rb', line 839 def **(other) call_enum("math2", other, :pow) end |
#+(other) ⇒ Image
Add an image, constant or array.
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# File 'lib/vips/image.rb', line 794 def +(other) other.is_a?(Vips::Image) ? add(other) : linear(1, other) end |
#-(other) ⇒ Image
Subtract an image, constant or array.
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# File 'lib/vips/image.rb', line 803 def -(other) other.is_a?(Vips::Image) ? subtract(other) : linear(1, Image::smap(other) {|x| x * -1}) end |
#-@ ⇒ Image
Equivalent to image * -1
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# File 'lib/vips/image.rb', line 905 def -@ self * -1 end |
#/(other) ⇒ Image
Divide an image, constant or array.
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# File 'lib/vips/image.rb', line 821 def /(other) other.is_a?(Vips::Image) ? divide(other) : linear(Image::smap(other) {|x| 1.0 / x}, 0) end |
#<(other) ⇒ Image
Relational less than with an image, constant or array.
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# File 'lib/vips/image.rb', line 913 def <(other) call_enum("relational", other, :less) end |
#<<(other) ⇒ Image
Integer left shift with an image, constant or array.
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# File 'lib/vips/image.rb', line 847 def <<(other) call_enum("boolean", other, :lshift) end |
#<=(other) ⇒ Image
Relational less than or equal to with an image, constant or array.
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# File 'lib/vips/image.rb', line 922 def <=(other) call_enum("relational", other, :lesseq) end |
#==(other) ⇒ Image
Compare equality to nil, an image, constant or array.
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# File 'lib/vips/image.rb', line 947 def ==(other) # for equality, we must allow tests against nil if other == nil false else call_enum("relational", other, :equal) end end |
#>(other) ⇒ Image
Relational more than with an image, constant or array.
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# File 'lib/vips/image.rb', line 930 def >(other) call_enum("relational", other, :more) end |
#>=(other) ⇒ Image
Relational more than or equal to with an image, constant or array.
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# File 'lib/vips/image.rb', line 939 def >=(other) call_enum("relational", other, :moreeq) end |
#>>(other) ⇒ Image
Integer right shift with an image, constant or array.
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# File 'lib/vips/image.rb', line 855 def >>(other) call_enum("boolean", other, :rshift) end |
#[](index) ⇒ Image
Fetch bands using a number or a range
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# File 'lib/vips/image.rb', line 973 def [](index) if index.is_a? Range n = index.end - index.begin n += 1 if not index.exclude_end? extract_band index.begin, :n => n elsif index.is_a? Numeric extract_band index else raise Vips::Error, "[] index is not range or numeric." end end |
#^(other) ⇒ Image
Integer bitwise EOR with an image, constant or array.
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# File 'lib/vips/image.rb', line 879 def ^(other) call_enum("boolean", other, :eor) end |
#acos ⇒ Image
Return the inverse cosine of an image in degrees.
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# File 'lib/vips/image.rb', line 1216 def acos math :acos end |
#affine(matrix, opts = {}) ⇒ Vips::Image
Affine transform of an image.
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# File 'lib/vips/methods.rb', line 1493
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#asin ⇒ Image
Return the inverse sine of an image in degrees.
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# File 'lib/vips/image.rb', line 1209 def asin math :asin end |
#atan ⇒ Image
Return the inverse tangent of an image in degrees.
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# File 'lib/vips/image.rb', line 1223 def atan math :atan end |
#autorot(opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Autorotate image by exif tag.
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# File 'lib/vips/methods.rb', line 440
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#avg(opts = {}) ⇒ Float
Find image average.
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# File 'lib/vips/methods.rb', line 159
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#bandand ⇒ Image
AND the bands of an image together
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# File 'lib/vips/image.rb', line 1045 def bandand bandbool :and end |
#bandbool(boolean, opts = {}) ⇒ Vips::Image
Boolean operation across image bands.
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# File 'lib/vips/methods.rb', line 408
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#bandeor ⇒ Image
EOR the bands of an image together
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# File 'lib/vips/image.rb', line 1059 def bandeor bandbool :eor end |
#bandfold(opts = {}) ⇒ Vips::Image
Fold up x axis into bands.
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# File 'lib/vips/methods.rb', line 452
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#bandjoin(other) ⇒ Image
Join a set of images bandwise.
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# File 'lib/vips/image.rb', line 1074 def bandjoin(other) if not other.is_a? Array other = [other] end # if other is just Numeric, we can use bandjoin_const not_all_real = (other.map {|x| not x.is_a?(Numeric)}).include?(true) if not_all_real Vips::Image.bandjoin([self] + other) else bandjoin_const(other) end end |
#bandjoin_const(c, opts = {}) ⇒ Vips::Image
Append a constant band to an image.
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# File 'lib/vips/methods.rb', line 390
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#bandor ⇒ Image
OR the bands of an image together
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# File 'lib/vips/image.rb', line 1052 def bandor bandbool :or end |
#bandsplit ⇒ Array<Image>
Split an n-band image into n separate images.
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# File 'lib/vips/image.rb', line 1066 def bandsplit (0...bands).map {|i| extract_band(i)} end |
#bandunfold(opts = {}) ⇒ Vips::Image
Unfold image bands into x axis.
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# File 'lib/vips/methods.rb', line 458
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#boolean(right, boolean, opts = {}) ⇒ Vips::Image
Boolean operation on two images.
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# File 'lib/vips/methods.rb', line 52
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#boolean_const(boolean, c, opts = {}) ⇒ Vips::Image
Boolean operations against a constant.
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# File 'lib/vips/methods.rb', line 133
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#ceil ⇒ Image
Return the smallest integral value not less than the argument.
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# File 'lib/vips/image.rb', line 1031 def ceil round :ceil end |
#colourspace(space, opts = {}) ⇒ Vips::Image
Convert to a new colourspace.
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# File 'lib/vips/methods.rb', line 1526
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#compass(mask, opts = {}) ⇒ Vips::Image
Convolve with rotating mask.
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# File 'lib/vips/methods.rb', line 1802
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#complex(cmplx, opts = {}) ⇒ Vips::Image
Perform a complex operation on an image.
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# File 'lib/vips/methods.rb', line 147
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#complex2(right, cmplx, opts = {}) ⇒ Vips::Image
Complex binary operations on two images.
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# File 'lib/vips/methods.rb', line 66
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#complexform(right, opts = {}) ⇒ Vips::Image
Form a complex image from two real images.
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# File 'lib/vips/methods.rb', line 73
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#complexget(get, opts = {}) ⇒ Vips::Image
Get a component from a complex image.
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# File 'lib/vips/methods.rb', line 153
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#conj ⇒ Image
Return the complex conjugate of an image.
The image can be complex, in which case the return image will also be complex, or must have an even number of bands, in which case pairs of bands are treated as (x, y) coordinates.
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# File 'lib/vips/image.rb', line 1181 def conj Image::run_cmplx(self) {|x| x.complex :conj} end |
#conva(mask, opts = {}) ⇒ Vips::Image
Approximate integer convolution.
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# File 'lib/vips/methods.rb', line 1782
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#convasep(mask, opts = {}) ⇒ Vips::Image
Approximate separable integer convolution.
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# File 'lib/vips/methods.rb', line 1823
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#convf(mask, opts = {}) ⇒ Vips::Image
Float convolution operation.
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# File 'lib/vips/methods.rb', line 1790
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#convi(mask, opts = {}) ⇒ Vips::Image
Int convolution operation.
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# File 'lib/vips/methods.rb', line 1796
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#convsep(mask, opts = {}) ⇒ Vips::Image
Seperable convolution operation.
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# File 'lib/vips/methods.rb', line 1814
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#cos ⇒ Image
Return the cosine of an image in degrees.
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# File 'lib/vips/image.rb', line 1195 def cos math :cos end |
#countlines(direction, opts = {}) ⇒ Float
Count lines in an image.
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# File 'lib/vips/methods.rb', line 1904
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#csvsave(filename, opts = {}) ⇒ nil
Save image to csv file.
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# File 'lib/vips/methods.rb', line 1145
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#deviate(opts = {}) ⇒ Float
Find image standard deviation.
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# File 'lib/vips/methods.rb', line 186
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#dilate(mask) ⇒ Image
Dilate with a structuring element.
The structuring element must be an array with 0 for black, 255 for white and 128 for don't care.
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# File 'lib/vips/image.rb', line 1289 def dilate(mask) morph mask, :dilate end |
#draw_circle(ink, cx, cy, radius, opts = {}) ⇒ Vips::Image
Draw a circle on an image.
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# File 'lib/vips/methods.rb', line 1946
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#draw_flood(ink, x, y, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Flood-fill an area.
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# File 'lib/vips/methods.rb', line 1956
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#draw_image(sub, x, y, opts = {}) ⇒ Vips::Image
Paint an image into another image.
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# File 'lib/vips/methods.rb', line 1970
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#draw_line(ink, x1, y1, x2, y2, opts = {}) ⇒ Vips::Image
Draw a line on an image.
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# File 'lib/vips/methods.rb', line 1936
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#draw_mask(ink, mask, x, y, opts = {}) ⇒ Vips::Image
Draw a mask on an image.
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# File 'lib/vips/methods.rb', line 1927
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#draw_rect(ink, left, top, width, height, opts = {}) ⇒ Vips::Image
Paint a rectangle on an image.
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# File 'lib/vips/methods.rb', line 1916
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#draw_smudge(left, top, width, height, opts = {}) ⇒ Vips::Image
Blur a rectangle on an image.
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# File 'lib/vips/methods.rb', line 1979
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#dzsave(filename, opts = {}) ⇒ nil
Save image to deepzoom file.
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# File 'lib/vips/methods.rb', line 1218
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#dzsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to dz buffer.
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# File 'lib/vips/methods.rb', line 1237
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#embed(x, y, width, height, opts = {}) ⇒ Vips::Image
Embed an image in a larger image.
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# File 'lib/vips/methods.rb', line 306
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#erode(mask) ⇒ Image
Erode with a structuring element.
The structuring element must be an array with 0 for black, 255 for white and 128 for don't care.
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# File 'lib/vips/image.rb', line 1277 def erode(mask) morph mask, :erode end |
#exp ⇒ Image
Return e ** pixel.
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# File 'lib/vips/image.rb', line 1244 def exp math :exp end |
#exp10 ⇒ Image
Return 10 ** pixel.
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# File 'lib/vips/image.rb', line 1251 def exp10 math :exp10 end |
#extract_area(left, top, width, height, opts = {}) ⇒ Vips::Image
Extract an area from an image.
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# File 'lib/vips/methods.rb', line 357
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#extract_band(band, opts = {}) ⇒ Vips::Image
Extract band from an image.
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# File 'lib/vips/methods.rb', line 383
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#fitssave(filename, opts = {}) ⇒ nil
Save image to fits file.
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# File 'lib/vips/methods.rb', line 1399
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#flatten(opts = {}) ⇒ Vips::Image
Flatten alpha out of an image.
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# File 'lib/vips/methods.rb', line 464
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#fliphor ⇒ Image
Flip horizontally.
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# File 'lib/vips/image.rb', line 1258 def fliphor flip :horizontal end |
#flipver ⇒ Image
Flip vertically.
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# File 'lib/vips/image.rb', line 1265 def flipver flip :vertical end |
#float2rad(opts = {}) ⇒ Vips::Image
Transform float rgb to radiance coding.
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# File 'lib/vips/methods.rb', line 1620
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#floor ⇒ Image
Return the largest integral value not greater than the argument.
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# File 'lib/vips/image.rb', line 1024 def floor round :floor end |
#freqmult(mask, opts = {}) ⇒ Vips::Image
Frequency-domain filtering.
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# File 'lib/vips/methods.rb', line 1872
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#get(name) ⇒ Integer, GValue
Fetch a GValue from an image. The return status is 0 for success, -1
for failure.
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# File 'lib/vips/image.rb', line 704
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#get_typeof(name) ⇒ Integer
Fetch a GType from an image. GType will be 0 for no such field.
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# File 'lib/vips/image.rb', line 696
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#get_value(name) ⇒ Object
Get a metadata item from an image. Ruby types are constructed
automatically from the GValue, if possible.
For example, you can read the ICC profile from an image like this:
profile = image.get_value "icc-profile-data"
and profile will be an array containing the profile.
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# File 'lib/vips/image.rb', line 734 def get_value(name) ret, gval = get name if ret != 0 raise Vips::Error, "Field #{name} not found." end value = gval.value Argument::unwrap(value) end |
#getpoint(x, y, opts = {}) ⇒ Array<Double>
Read a point from an image.
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# File 'lib/vips/image.rb', line 1116 def getpoint(x, y) # vips has an operation that does this, but we can't call it via # gobject-introspection 3.1 since it's missing array double # get # # remove this def when gobject-introspection updates crop(x, y, 1, 1).bandsplit.map(&:avg) end |
#globalbalance(opts = {}) ⇒ Vips::Image
Global balance an image mosaic.
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# File 'lib/vips/methods.rb', line 2058
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#grid(tile_height, across, down, opts = {}) ⇒ Vips::Image
Grid an image.
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# File 'lib/vips/methods.rb', line 483
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#hist_cum(opts = {}) ⇒ Vips::Image
Form cumulative histogram.
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# File 'lib/vips/methods.rb', line 1728
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#hist_entropy(opts = {}) ⇒ Float
Estimate image entropy.
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# File 'lib/vips/methods.rb', line 1768
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#hist_equal(opts = {}) ⇒ Vips::Image
Histogram equalisation.
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# File 'lib/vips/methods.rb', line 1744
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#hist_find_indexed(index, opts = {}) ⇒ Vips::Image
Find indexed image histogram.
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# File 'lib/vips/methods.rb', line 208
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#hist_find_ndim(opts = {}) ⇒ Vips::Image
Find n-dimensional image histogram.
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# File 'lib/vips/methods.rb', line 202
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#hist_ismonotonic(opts = {}) ⇒ Boolean
Test for monotonicity.
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# File 'lib/vips/methods.rb', line 1763
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#hist_local(width, height, opts = {}) ⇒ Vips::Image
Local histogram equalisation.
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# File 'lib/vips/methods.rb', line 1755
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#hist_match(ref, opts = {}) ⇒ Vips::Image
Match two histograms.
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# File 'lib/vips/methods.rb', line 1733
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#hough_circle(opts = {}) ⇒ Vips::Image
Find hough circle transform.
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# File 'lib/vips/methods.rb', line 221
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#hough_line(opts = {}) ⇒ Vips::Image
Find hough line transform.
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# File 'lib/vips/methods.rb', line 214
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#icc_export(opts = {}) ⇒ Vips::Image
Output to device with icc profile.
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# File 'lib/vips/methods.rb', line 1649
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#icc_import(opts = {}) ⇒ Vips::Image
Import from device with icc profile.
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# File 'lib/vips/methods.rb', line 1640
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#icc_transform(output_profile, opts = {}) ⇒ Vips::Image
Transform between devices with icc profiles.
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# File 'lib/vips/methods.rb', line 1658
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#ifthenelse(th, el, opts = {}) ⇒ Image
Select pixels from th if self is non-zero and from el if
self is zero. Use the :blend option to fade smoothly
between th and el.
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# File 'lib/vips/image.rb', line 1323 def ifthenelse(th, el, opts = {}) match_image = [th, el, self].find {|x| x.is_a? Vips::Image} if not th.is_a? Vips::Image th = Argument::imageize match_image, th end if not el.is_a? Vips::Image el = Argument::imageize match_image, el end Vips::call_base "ifthenelse", self, "", [th, el, opts] end |
#imag ⇒ Image
Return the imaginary part of a complex image.
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# File 'lib/vips/image.rb', line 1143 def imag complexget :imag end |
#insert(sub, x, y, opts = {}) ⇒ Vips::Image
Insert image @sub into @main at @x, @y.
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# File 'lib/vips/methods.rb', line 323
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#invertlut(opts = {}) ⇒ Vips::Image
Build an inverted look-up table.
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# File 'lib/vips/methods.rb', line 776
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#join(in2, direction, opts = {}) ⇒ Vips::Image
Join a pair of images.
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# File 'lib/vips/methods.rb', line 333
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#jpegsave(filename, opts = {}) ⇒ nil
Save image to jpeg file.
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# File 'lib/vips/methods.rb', line 1278
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#jpegsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to jpeg buffer.
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# File 'lib/vips/methods.rb', line 1295
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#jpegsave_mime(opts = {}) ⇒ nil
Save image to jpeg mime.
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# File 'lib/vips/methods.rb', line 1311
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#Lab2LabQ(opts = {}) ⇒ Vips::Image
Transform float lab to labq coding.
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# File 'lib/vips/methods.rb', line 1590
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#Lab2LabS(opts = {}) ⇒ Vips::Image
Transform float lab to signed short.
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# File 'lib/vips/methods.rb', line 1610
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#labelregions(opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Label regions in an image.
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# File 'lib/vips/methods.rb', line 1910
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#LabQ2Lab(opts = {}) ⇒ Vips::Image
Unpack a labq image to float lab.
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# File 'lib/vips/methods.rb', line 1585
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#LabQ2LabS(opts = {}) ⇒ Vips::Image
Unpack a labq image to short lab.
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# File 'lib/vips/methods.rb', line 1595
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#LabQ2sRGB(opts = {}) ⇒ Vips::Image
Convert a labq image to srgb.
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# File 'lib/vips/methods.rb', line 1625
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#LabS2Lab(opts = {}) ⇒ Vips::Image
Transform signed short lab to float.
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# File 'lib/vips/methods.rb', line 1605
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#LabS2LabQ(opts = {}) ⇒ Vips::Image
Transform short lab to labq coding.
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# File 'lib/vips/methods.rb', line 1600
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#linear(a, b, opts = {}) ⇒ Vips::Image
Calculate (a * in + b).
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# File 'lib/vips/methods.rb', line 90
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#linecache(opts = {}) ⇒ Vips::Image
Cache an image as a set of lines.
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# File 'lib/vips/methods.rb', line 283
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#log ⇒ Image
Return the natural log of an image.
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# File 'lib/vips/image.rb', line 1230 def log math :log end |
#log10 ⇒ Image
Return the log base 10 of an image.
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# File 'lib/vips/image.rb', line 1237 def log10 math :log10 end |
#mapim(index, opts = {}) ⇒ Vips::Image
Resample with an mapim image.
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# File 'lib/vips/methods.rb', line 1435
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#maplut(lut, opts = {}) ⇒ Vips::Image
Map an image though a lut.
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# File 'lib/vips/methods.rb', line 1704
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#match(sec, xr1, yr1, xs1, ys1, xr2, yr2, xs2, ys2, opts = {}) ⇒ Vips::Image
First-order match of two images.
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# File 'lib/vips/methods.rb', line 2040
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#math(math, opts = {}) ⇒ Vips::Image
Apply a math operation to an image.
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# File 'lib/vips/methods.rb', line 98
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#math2(right, math2, opts = {}) ⇒ Vips::Image
Binary math operations.
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# File 'lib/vips/methods.rb', line 59
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#math2_const(math2, c, opts = {}) ⇒ Vips::Image
Binary math operations with a constant.
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# File 'lib/vips/methods.rb', line 140
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#matrixprint(opts = {}) ⇒ nil
Print matrix.
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# File 'lib/vips/methods.rb', line 1162
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#matrixsave(filename, opts = {}) ⇒ nil
Save image to matrix file.
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# File 'lib/vips/methods.rb', line 1154
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#max(opts = {}) ⇒ Float, Hash<Symbol => Object>
Find image maximum.
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# File 'lib/vips/methods.rb', line 175
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#maxpos ⇒ Real
Return the coordinates of the image maximum.
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# File 'lib/vips/image.rb', line 1093 def maxpos v, opts = max :x => true, :y => true x = opts['x'] y = opts['y'] return v, x, y end |
#measure(h, v, opts = {}) ⇒ Vips::Image
Measure a set of patches on a colour chart.
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# File 'lib/vips/methods.rb', line 239
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#median(size = 3) ⇒ Image
a median filter
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# File 'lib/vips/image.rb', line 1129 def median(size = 3) rank(size, size, (size * size) / 2) end |
#merge(sec, direction, dx, dy, opts = {}) ⇒ Vips::Image
Merge two images.
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# File 'lib/vips/methods.rb', line 1988
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#min(opts = {}) ⇒ Float, Hash<Symbol => Object>
Find image minimum.
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# File 'lib/vips/methods.rb', line 164
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#minpos ⇒ Real
Return the coordinates of the image minimum.
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# File 'lib/vips/image.rb', line 1104 def minpos v, opts = min :x => true, :y => true x = opts['x'] y = opts['y'] return v, x, y end |
#morph(mask, morph, opts = {}) ⇒ Vips::Image
Morphology operation.
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# File 'lib/vips/methods.rb', line 1889
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#mosaic(sec, direction, xref, yref, xsec, ysec, opts = {}) ⇒ Vips::Image, Hash<Symbol => Object>
Mosaic two images.
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# File 'lib/vips/methods.rb', line 1998
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#mosaic1(sec, direction, xr1, yr1, xs1, ys1, xr2, yr2, xs2, ys2, opts = {}) ⇒ Vips::Image
First-order mosaic of two images.
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# File 'lib/vips/methods.rb', line 2019
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#msb(opts = {}) ⇒ Vips::Image
Pick most-significant byte from an image.
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# File 'lib/vips/methods.rb', line 520
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#multiply(right, opts = {}) ⇒ Vips::Image
Multiply two images.
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# File 'lib/vips/methods.rb', line 27
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#new_from_image(value) ⇒ Image
A new image is created with the same width, height, format, interpretation, resolution and offset as self, but with every pixel set to the specified value.
You can pass an array to make a many-band image, or a single value to make a one-band image.
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# File 'lib/vips/image.rb', line 587 def new_from_image(value) pixel = (Vips::Image.black(1, 1) + value).cast(format) image = pixel.(0, 0, width, height, :extend => :copy) image.copy :interpretation => interpretation, :xres => xres, :yres => yres, :xoffset => xoffset, :yoffset => yoffset end |
#percent(percent, opts = {}) ⇒ Integer
Find threshold for percent of pixels.
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# File 'lib/vips/methods.rb', line 1711
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#phasecor(in2, opts = {}) ⇒ Vips::Image
Calculate phase correlation.
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# File 'lib/vips/methods.rb', line 1883
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#pngsave(filename, opts = {}) ⇒ nil
Save image to png file.
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# File 'lib/vips/methods.rb', line 1255
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#pngsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to png buffer.
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# File 'lib/vips/methods.rb', line 1267
|
#polar ⇒ Image
Return an image with rectangular pixels converted to polar.
The image can be complex, in which case the return image will also be complex, or must have an even number of bands, in which case pairs of bands are treated as (x, y) coordinates.
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# File 'lib/vips/image.rb', line 1156 def polar Image::run_cmplx(self) {|x| x.complex :polar} end |
#ppmsave(filename, opts = {}) ⇒ nil
Save image to ppm file.
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# File 'lib/vips/methods.rb', line 1193
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#premultiply(opts = {}) ⇒ Vips::Image
Premultiply image alpha.
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# File 'lib/vips/methods.rb', line 471
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#profile(opts = {}) ⇒ Array<] First non-zero pixel in column, First non-zero pixel in row
Find image profiles.
|
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# File 'lib/vips/methods.rb', line 234
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#project(opts = {}) ⇒ Array<] Sums of columns, Sums of rows
Find image projections.
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# File 'lib/vips/methods.rb', line 229
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#quadratic(coeff, opts = {}) ⇒ Vips::Image
Resample an image with a quadratic transform.
|
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# File 'lib/vips/methods.rb', line 1486
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#rad2float(opts = {}) ⇒ Vips::Image
Unpack radiance coding to float rgb.
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# File 'lib/vips/methods.rb', line 1615
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#radsave(filename, opts = {}) ⇒ nil
Save image to radiance file.
|
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# File 'lib/vips/methods.rb', line 1203
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#radsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to radiance buffer.
|
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# File 'lib/vips/methods.rb', line 1211
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#rank(width, height, index, opts = {}) ⇒ Vips::Image
Rank filter.
|
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# File 'lib/vips/methods.rb', line 1896
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#rawsave(filename, opts = {}) ⇒ nil
Save image to raw file.
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# File 'lib/vips/methods.rb', line 1169
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#rawsave_fd(fd, opts = {}) ⇒ nil
Write raw image to file descriptor.
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# File 'lib/vips/methods.rb', line 1177
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#real ⇒ Image
Return the real part of a complex image.
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# File 'lib/vips/image.rb', line 1136 def real complexget :real end |
#recomb(m, opts = {}) ⇒ Vips::Image
Linear recombination with matrix.
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# File 'lib/vips/methods.rb', line 446
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#rect ⇒ Image
Return an image with polar pixels converted to rectangular.
The image can be complex, in which case the return image will also be complex, or must have an even number of bands, in which case pairs of bands are treated as (x, y) coordinates.
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# File 'lib/vips/image.rb', line 1169 def rect Image::run_cmplx(self) {|x| x.complex :rect} end |
#reduce(hshrink, vshrink, opts = {}) ⇒ Vips::Image
Reduce an image.
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# File 'lib/vips/methods.rb', line 1477
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#reduceh(hshrink, opts = {}) ⇒ Vips::Image
Shrink an image horizontally.
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# File 'lib/vips/methods.rb', line 1461
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#reducev(vshrink, opts = {}) ⇒ Vips::Image
Shrink an image vertically.
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# File 'lib/vips/methods.rb', line 1469
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#relational(right, relational, opts = {}) ⇒ Vips::Image
Relational operation on two images.
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# File 'lib/vips/methods.rb', line 39
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#relational_const(relational, c, opts = {}) ⇒ Vips::Image
Relational operations against a constant.
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# File 'lib/vips/methods.rb', line 120
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#remainder(right, opts = {}) ⇒ Vips::Image
Remainder after integer division of two images.
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# File 'lib/vips/methods.rb', line 46
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#remainder_const(c, opts = {}) ⇒ Vips::Image
Remainder after integer division of an image and a constant.
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# File 'lib/vips/methods.rb', line 127
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#replicate(across, down, opts = {}) ⇒ Vips::Image
Replicate an image.
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# File 'lib/vips/methods.rb', line 414
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#rint ⇒ Image
Return the nearest integral value.
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# File 'lib/vips/image.rb', line 1038 def rint round :rint end |
#rot180 ⇒ Image
Rotate by 180 degrees clockwise.
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# File 'lib/vips/image.rb', line 1303 def rot180 rot :d180 end |
#rot270 ⇒ Image
Rotate by 270 degrees clockwise.
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# File 'lib/vips/image.rb', line 1310 def rot270 rot :d270 end |
#rot90 ⇒ Image
Rotate by 90 degrees clockwise.
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# File 'lib/vips/image.rb', line 1296 def rot90 rot :d90 end |
#round(round, opts = {}) ⇒ Vips::Image
Perform a round function on an image.
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# File 'lib/vips/methods.rb', line 114
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#scaleimage(opts = {}) ⇒ Vips::Image
Scale an image to uchar. This is the vips scale operation, but
renamed to avoid a clash with the .scale property.
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# File 'lib/vips/image.rb', line 1341 def scaleimage(opts = {}) Vips::Image.scale self, opts end |
#scRGB2sRGB(opts = {}) ⇒ Vips::Image
Convert an scrgb image to srgb.
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# File 'lib/vips/methods.rb', line 1698
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#sequential(opts = {}) ⇒ Vips::Image
Check sequential access.
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# File 'lib/vips/methods.rb', line 292
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#set(name, value) ⇒ Object
Set a GValue on an image
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# File 'lib/vips/image.rb', line 713
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#set_value(name, value) ⇒ Object
Set a metadata item on an image. Ruby types are automatically
transformed into the matching GValue, if possible.
For example, you can use this to set an image's ICC profile:
x = y.set_value "icc-profile-data", profile
where profile is an ICC profile held as a binary string object.
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# File 'lib/vips/image.rb', line 758 def set_value(name, value) gtype = get_typeof name if gtype != 0 # array-ize value = Argument::arrayize gtype, value # blob-ize if gtype.type_is_a? GLib::Type["VipsBlob"] if not value.is_a? Vips::Blob value = Vips::Blob.copy value end end # image-ize if gtype.type_is_a? GLib::Type["VipsImage"] if not value.is_a? Vips::Image value = imageize match_image, value end end end set name, value end |
#sharpen(opts = {}) ⇒ Vips::Image
Unsharp masking for print.
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# File 'lib/vips/methods.rb', line 1842
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#shrink(hshrink, vshrink, opts = {}) ⇒ Vips::Image
Shrink an image.
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# File 'lib/vips/methods.rb', line 1442
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#shrinkh(hshrink, opts = {}) ⇒ Vips::Image
Shrink an image horizontally.
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# File 'lib/vips/methods.rb', line 1449
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#shrinkv(vshrink, opts = {}) ⇒ Vips::Image
Shrink an image vertically.
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# File 'lib/vips/methods.rb', line 1455
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#similarity(opts = {}) ⇒ Vips::Image
Similarity transform of an image.
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# File 'lib/vips/methods.rb', line 1505
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#sin ⇒ Image
Return the sine of an image in degrees.
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# File 'lib/vips/image.rb', line 1188 def sin math :sin end |
#size ⇒ Integer
Get the image size.
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# File 'lib/vips/image.rb', line 786 def size [width, height] end |
#smartcrop(width, height, opts = {}) ⇒ Vips::Image
Extract an area from an image.
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# File 'lib/vips/methods.rb', line 375
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#spectrum(opts = {}) ⇒ Vips::Image
Make displayable power spectrum.
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# File 'lib/vips/methods.rb', line 1878
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#sRGB2scRGB(opts = {}) ⇒ Vips::Image
Convert an srgb image to scrgb.
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# File 'lib/vips/methods.rb', line 1687
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#stdif(width, height, opts = {}) ⇒ Vips::Image
Statistical difference.
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# File 'lib/vips/methods.rb', line 1717
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#subsample(xfac, yfac, opts = {}) ⇒ Vips::Image
Subsample an image.
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# File 'lib/vips/methods.rb', line 512
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#subtract(right, opts = {}) ⇒ Vips::Image
Subtract two images.
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# File 'lib/vips/methods.rb', line 21
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#tan ⇒ Image
Return the tangent of an image in degrees.
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# File 'lib/vips/image.rb', line 1202 def tan math :tan end |
#tiffsave(filename, opts = {}) ⇒ nil
Save image to tiff file.
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# File 'lib/vips/methods.rb', line 1354
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#tiffsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to tiff buffer.
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# File 'lib/vips/methods.rb', line 1377
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#tilecache(opts = {}) ⇒ Vips::Image
Cache an image as a set of tiles.
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# File 'lib/vips/methods.rb', line 272
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#to_a ⇒ Array
Convert to an Array. This will be slow for large images.
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# File 'lib/vips/image.rb', line 988 def to_a # we render the image to a big string, then unpack # as a Ruby array of the correct type memory = write_to_memory.pack('c*') # make the template for unpack template = { :char => 'c', :uchar => 'C', :short => 's_', :ushort => 'S_', :int => 'i_', :uint => 'I_', :float => 'f', :double => 'd', :complex => 'f', :dpcomplex => 'd' }[format.nick.to_sym] + '*' # and unpack into something like [1, 2, 3, 4 ..] array = memory.unpack(template) # gather band elements together pixel_array = [] array.each_slice(bands) {|pixel| pixel_array << pixel} # build rows row_array = [] pixel_array.each_slice(width) {|row| row_array << row} return row_array end |
#unpremultiply(opts = {}) ⇒ Vips::Image
Unpremultiply image alpha.
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# File 'lib/vips/methods.rb', line 477
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#vipssave(filename, opts = {}) ⇒ nil
Save image to vips file.
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# File 'lib/vips/methods.rb', line 1185
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#webpsave(filename, opts = {}) ⇒ nil
Save image to webp file.
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# File 'lib/vips/methods.rb', line 1327
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#webpsave_buffer(opts = {}) ⇒ Vips::Blob
Save image to webp buffer.
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# File 'lib/vips/methods.rb', line 1341
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#write_to_buffer(format_string, opts = {}) ⇒ String
Write this image to a memory buffer. Save options may be encoded in the format_string or given as a hash. For example:
buffer = image.write_to_buffer ".jpg[Q=90]"
or equivalently:
image.write_to_buffer ".jpg", :Q => 90
The full set of save options depend on the selected saver. Try something like:
$ vips jpegsave
to see all the available options for JPEG save.
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# File 'lib/vips/image.rb', line 662 def write_to_buffer(format_string, opts = {}) filename = Vips::filename_get_filename format_string option_string = Vips:: format_string saver = Vips::Foreign.find_save_buffer filename if saver == nil raise Vips::Error, "No known saver for '#{filename}'." end buffer = Vips::call_base saver, self, option_string, [opts] write_gc return buffer end |
#write_to_file(name, opts = {}) ⇒ Object
Write this image to a file. Save options may be encoded in the filename or given as a hash. For example:
image.write_to_file "fred.jpg[Q=90]"
or equivalently:
image.write_to_file "fred.jpg", :Q => 90
The full set of save options depend on the selected saver. Try something like:
$ vips jpegsave
to see all the available options for JPEG save.
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# File 'lib/vips/image.rb', line 624 def write_to_file(name, opts = {}) filename = Vips::filename_get_filename name option_string = Vips:: name saver = Vips::Foreign.find_save filename if saver == nil raise Vips::Error, "No known saver for '#{filename}'." end Vips::call_base saver, self, option_string, [filename, opts] write_gc end |
#|(other) ⇒ Image
Integer bitwise OR with an image, constant or array.
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# File 'lib/vips/image.rb', line 863 def |(other) call_enum("boolean", other, :or) end |
#~ ⇒ Image
Equivalent to image ^ -1
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# File 'lib/vips/image.rb', line 893 def ~ self ^ -1 end |