Class: Sqed::BoundaryFinder
- Inherits:
-
Object
- Object
- Sqed::BoundaryFinder
- Defined in:
- lib/sqed/boundary_finder.rb
Overview
Sqed Boundary Finders find boundaries on images and return co-ordinates of those boundaries. They do not return derivative images. Finders operate on cropped images, i.e. only the “stage”.
Direct Known Subclasses
Defined Under Namespace
Classes: ColorLineFinder, CrossFinder, StageFinder
Constant Summary collapse
- THUMB_SIZE =
100
- COLOR_DELTA =
color (e.g. red) must be this much be *COLOR_DELTA > than other values (e.g. blue/green)
1.3
Instance Attribute Summary collapse
-
#boundaries ⇒ Object
readonly
Returns a Sqed::Boundaries instance initialized to the number of sections in the passed layout.
-
#image ⇒ Object
readonly
the passed image.
-
#layout ⇒ Object
readonly
a symbol from SqedConfig::LAYOUTS.
-
#original_image ⇒ Object
readonly
when we compute using a derived thumbnail we temporarily store the full size image here.
-
#use_thumbnail ⇒ Object
readonly
Whether to compress the original image to a thumbnail when finding boundaries.
Class Method Summary collapse
-
.color_boundary_finder(**opts) ⇒ Array
image: image, sample_subdivision_size: nil, sample_cutoff_factor: nil, scan: :rows, boundary_color: :green).
- .derivative(array) ⇒ Object
- .derivative_signs(array) ⇒ Object
-
.frequency_stats(frequency_hash, sample_cutoff = 0) ⇒ Object
return [Array] the start, mid, endpoint position of all (pixel) positions that have a count greater than the cutoff.
-
.get_subdivision_size(image_width) ⇒ Object
return [Integer, nil] sample more with small images, less with large images we want to return larger numbers (= faster sampling).
- .is_black?(pixel) ⇒ Boolean
- .is_blue?(pixel) ⇒ Boolean
- .is_green?(pixel) ⇒ Boolean
- .is_red?(pixel) ⇒ Boolean
- .max_difference(array) ⇒ Object
-
.max_pairwise_difference(array) ⇒ Object
Returns an Integer, the maximum of the pairwise differences of the values in the array For example, given [1,2,3,9,6,2,0] The resulting pairwise array is [1,1,6,3,4,2] The max (value returned) is 6.
- .sample_border(image, boundary_color, samples_to_take, sample_subdivision_size, scan) ⇒ Object
Instance Method Summary collapse
- #height_factor ⇒ Object
-
#initialize(**opts) ⇒ BoundaryFinder
constructor
A new instance of BoundaryFinder.
- #longest_thumbnail_axis ⇒ Object
- #thumbnail ⇒ Object
- #thumbnail_height ⇒ Object
- #thumbnail_width ⇒ Object
- #width_factor ⇒ Object
- #zoom_boundaries ⇒ Object
Constructor Details
#initialize(**opts) ⇒ BoundaryFinder
Returns a new instance of BoundaryFinder.
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# File 'lib/sqed/boundary_finder.rb', line 27 def initialize(**opts) # image: image, layout: layout, use_thumbnail: true @use_thumbnail = opts[:use_thumbnail] @use_thumbnail = true if @use_thumbnail.nil? @layout = opts[:layout] @image = opts[:image] raise 'No layout provided.' if layout.nil? raise 'No image provided.' if image.nil? || image.class.name != 'Magick::Image' true end |
Instance Attribute Details
#boundaries ⇒ Object (readonly)
Returns a Sqed::Boundaries instance initialized to the number of sections in the passed layout.
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# File 'lib/sqed/boundary_finder.rb', line 19 def boundaries @boundaries end |
#image ⇒ Object (readonly)
the passed image
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# File 'lib/sqed/boundary_finder.rb', line 13 def image @image end |
#layout ⇒ Object (readonly)
a symbol from SqedConfig::LAYOUTS
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# File 'lib/sqed/boundary_finder.rb', line 16 def layout @layout end |
#original_image ⇒ Object (readonly)
when we compute using a derived thumbnail we temporarily store the full size image here
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# File 'lib/sqed/boundary_finder.rb', line 25 def original_image @original_image end |
#use_thumbnail ⇒ Object (readonly)
Whether to compress the original image to a thumbnail when finding boundaries
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# File 'lib/sqed/boundary_finder.rb', line 22 def use_thumbnail @use_thumbnail end |
Class Method Details
.color_boundary_finder(**opts) ⇒ Array
image: image, sample_subdivision_size: nil, sample_cutoff_factor: nil, scan: :rows, boundary_color: :green)
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# File 'lib/sqed/boundary_finder.rb', line 124 def self.color_boundary_finder(**opts) image = opts[:image] sample_subdivision_size = opts[:sample_subdivision_size] sample_cutoff_factor = opts[:sample_cutoff_factor] scan = opts[:scan] || :rows boundary_color = opts[:boundary_color] || :green image_width = image.send(scan) sample_subdivision_size = get_subdivision_size(image_width) if sample_subdivision_size.nil? attempts = 0 while attempts < 5 do samples_to_take = (image_width / sample_subdivision_size).to_i - 1 border_hits = sample_border(image, boundary_color, samples_to_take, sample_subdivision_size, scan) break if border_hits.select{|k,v| v > 1}.size > 2 || sample_subdivision_size == 1 sample_subdivision_size = (sample_subdivision_size.to_f / 2.0).to_i attempts += 1 end return nil if border_hits.length < 2 if sample_cutoff_factor.nil? cutoff = max_difference(border_hits.values) cutoff = border_hits.values.first - 1 if cutoff == 0 # difference of two identical things is 0 else cutoff = (samples_to_take * sample_cutoff_factor).to_i end frequency_stats(border_hits, cutoff) end |
.derivative(array) ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 259 def self.derivative(array) (0..array.length - 2).map { |i| array[i + 1] - array[i] } end |
.derivative_signs(array) ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 255 def self.derivative_signs(array) (0..array.length - 2).map { |i| (array[i + 1] - array[i]) <=> 0 } end |
.frequency_stats(frequency_hash, sample_cutoff = 0) ⇒ Object
return [Array]
the start, mid, endpoint position of all (pixel) positions that have a count greater than the cutoff
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# File 'lib/sqed/boundary_finder.rb', line 208 def self.frequency_stats(frequency_hash, sample_cutoff = 0) return nil if sample_cutoff.nil? || sample_cutoff < 1 hit_ranges = [] frequency_hash.each do |position, count| if count >= sample_cutoff hit_ranges.push(position) end end case hit_ranges.size when 1 c = hit_ranges[0] hit_ranges = [c - 1, c, c + 1] when 2 hit_ranges.sort! c1 = hit_ranges[0] c2 = hit_ranges[1] hit_ranges = [c1, c2, c2 + (c2 - c1)] when 0 return nil end # we have to sort because the keys (positions) we examined came unordered from a hash originally hit_ranges.sort! # return the position exactly in the middle of the array [hit_ranges.first, hit_ranges[(hit_ranges.length / 2).to_i], hit_ranges.last] end |
.get_subdivision_size(image_width) ⇒ Object
return [Integer, nil]
sample more with small images, less with large images
we want to return larger numbers (= faster sampling)
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# File 'lib/sqed/boundary_finder.rb', line 85 def self.get_subdivision_size(image_width) case image_width when nil nil when 0..140 6 when 141..640 12 when 641..1000 16 when 1001..3000 60 when 3001..6400 80 else 140 end end |
.is_black?(pixel) ⇒ Boolean
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# File 'lib/sqed/boundary_finder.rb', line 201 def self.is_black?(pixel) black_threshold = 65535 * 0.15 #tune for black (pixel.red < black_threshold) && (pixel.blue < black_threshold) && (pixel.green < black_threshold) end |
.is_blue?(pixel) ⇒ Boolean
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# File 'lib/sqed/boundary_finder.rb', line 193 def self.is_blue?(pixel) (pixel.blue > pixel.red*COLOR_DELTA) && (pixel.blue > pixel.green*COLOR_DELTA) end |
.is_green?(pixel) ⇒ Boolean
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# File 'lib/sqed/boundary_finder.rb', line 189 def self.is_green?(pixel) (pixel.green > pixel.red*COLOR_DELTA) && (pixel.green > pixel.blue*COLOR_DELTA) end |
.is_red?(pixel) ⇒ Boolean
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# File 'lib/sqed/boundary_finder.rb', line 197 def self.is_red?(pixel) (pixel.red > pixel.blue*COLOR_DELTA) && (pixel.red > pixel.green*COLOR_DELTA) end |
.max_difference(array) ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 251 def self.max_difference(array) array.max - array.min end |
.max_pairwise_difference(array) ⇒ Object
Returns an Integer, the maximum of the pairwise differences of the values in the array For example, given
[1,2,3,9,6,2,0]
The resulting pairwise array is
[1,1,6,3,4,2]
The max (value returned) is
6
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# File 'lib/sqed/boundary_finder.rb', line 247 def self.max_pairwise_difference(array) (0..array.length - 2).map{|i| (array[i] - array[i + 1]).abs }.max end |
.sample_border(image, boundary_color, samples_to_take, sample_subdivision_size, scan) ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 157 def self.sample_border(image, boundary_color, samples_to_take, sample_subdivision_size, scan) border_hits = {} (0..samples_to_take).each do |s| # Create a sample image a single pixel tall if scan == :rows j = image.crop(0, s * sample_subdivision_size, image.columns, 1, true) elsif scan == :columns j = image.crop(s * sample_subdivision_size, 0, 1, image.rows, true) else raise end j.each_pixel do |pixel, c, r| index = (scan == :rows) ? c : r # Our hit metric is dirt simple, if there is some percentage more of the boundary_color than the others, count + 1 for that column if send("is_#{boundary_color}?", pixel) # we have already hit that column previously, increment if border_hits[index] border_hits[index] += 1 # initialize the newly hit column 1 else border_hits[index] = 1 end end end end border_hits end |
Instance Method Details
#height_factor ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 74 def height_factor image.rows.to_f / thumbnail_height.to_f end |
#longest_thumbnail_axis ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 45 def longest_thumbnail_axis image.columns > image.rows ? :width : :height end |
#thumbnail ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 66 def thumbnail image.thumbnail(thumbnail_width, thumbnail_height) end |
#thumbnail_height ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 49 def thumbnail_height if longest_thumbnail_axis == :height THUMB_SIZE else (image.rows.to_f * (THUMB_SIZE.to_f / image.columns.to_f)).round.to_i end end |
#thumbnail_width ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 57 def thumbnail_width if longest_thumbnail_axis == :width THUMB_SIZE else (image.columns.to_f * (THUMB_SIZE.to_f / image.rows.to_f)).round.to_i end end |
#width_factor ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 70 def width_factor image.columns.to_f / thumbnail_width.to_f end |
#zoom_boundaries ⇒ Object
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# File 'lib/sqed/boundary_finder.rb', line 78 def zoom_boundaries boundaries.zoom(width_factor, height_factor ) end |