Module: Phash
- Defined in:
- lib/phash.rb,
lib/phash/image.rb,
lib/phash/version.rb
Defined Under Namespace
Classes: Image
Constant Summary collapse
- CIMG_PI =
3.14159265358979323846- CIMG_V =
CIMG_PI / 2 / 32
- CIMG_SCALE =
2**8 + 1
- VERSION =
"0.3.1"
Class Method Summary collapse
- .distance(fingerprint1, fingerprint2) ⇒ Object
- .fingerprint(path_or_img) ⇒ Object
- .large_image?(img) ⇒ Boolean
- .ph_dct_matrix ⇒ Object
- .sample(img) ⇒ Object
Class Method Details
.distance(fingerprint1, fingerprint2) ⇒ Object
13 14 15 |
# File 'lib/phash.rb', line 13 def self.distance(fingerprint1, fingerprint2) (fingerprint1 ^ fingerprint2).to_s(2).count('1') end |
.fingerprint(path_or_img) ⇒ Object
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
# File 'lib/phash.rb', line 17 def self.fingerprint(path_or_img) img = path_or_img.is_a?(Vips::Image) ? path_or_img : Vips::Image.new_from_file(path_or_img) # Strip alpha channel if present (4-band images) img = img[0..2] if img.bands == 4 #Y = (66*R + 129*G + 25*B + 128)/256 + 16 img = img * [66.0 / 256, 129.0 / 256, 25.0 / 256] r, g, b = img.bandsplit img = r + g + b + 16.5 mask = Vips::Image.new_from_array([[1.0] * 7] * 7) img = img.colourspace("grey16") img = img.conv(mask) mat = sample(img) dct = ph_dct_matrix dct_t = dct.transpose out = dct * mat * dct_t sub = out.minor(1..8, 1..8).to_a.flatten median = sub.sort[31..32].sum / 2 sub.reverse.map {|i| i > median ? 1 : 0 }.join.to_i(2) end |
.large_image?(img) ⇒ Boolean
54 55 56 |
# File 'lib/phash.rb', line 54 def self.large_image?(img) img.width * img.height > 250_000 end |
.ph_dct_matrix ⇒ Object
43 44 45 46 47 48 49 50 51 52 |
# File 'lib/phash.rb', line 43 def self.ph_dct_matrix @dct_matrix ||= begin v = 1 / Math.sqrt(32) c1 = Math.sqrt(2.0 / 32) Matrix.build(32, 32) do |y, x| (y < 1 ? v : c1 * Math.cos(CIMG_V * y * (2*x + 1))).round(6) end end end |
.sample(img) ⇒ Object
58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
# File 'lib/phash.rb', line 58 def self.sample(img) w, h = img.width, img.height w_step = w / 32.0 h_step = h / 32.0 if large_image?(img) # Large images: use getpoint to avoid copying entire image to Ruby array Matrix.build(32, 32) do |y, x| img.getpoint((x * w_step).to_i, (y * h_step).to_i)[0] / CIMG_SCALE end else # Small images: to_a is faster than 1024 getpoint calls src = img.to_a Matrix.build(32, 32) do |y, x| src[(y * h_step).to_i][(x * w_step).to_i][0] / CIMG_SCALE end end end |