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https://github.com/ciromattia/kcc
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Implemented new method to detect color images
This commit is contained in:
30
kcc/image.py
30
kcc/image.py
@@ -442,28 +442,24 @@ class ComicPage:
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self.fill = 'white'
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def isImageColor(self):
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v = ImageStat.Stat(self.image).var
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isMonochromatic = reduce(lambda x, y: x and y < 0.005, v, True)
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if isMonochromatic:
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# Monochromatic
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img = self.image.copy()
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bands = img.getbands()
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if bands == ('R', 'G', 'B') or bands == ('R', 'G', 'B', 'A'):
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thumb = img.resize((40, 40))
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SSE, bias = 0, [0, 0, 0]
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bias = ImageStat.Stat(thumb).mean[:3]
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bias = [b - sum(bias) / 3 for b in bias]
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for pixel in thumb.getdata():
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mu = sum(pixel) / 3
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SSE += sum((pixel[i] - mu - bias[i]) * (pixel[i] - mu - bias[i]) for i in [0, 1, 2])
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MSE = float(SSE) / (40 * 40)
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if MSE <= 22:
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return False
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else:
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if len(v) == 3:
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maxmin = abs(max(v) - min(v))
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if maxmin > 1000:
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# Color
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return True
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elif maxmin > 100:
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# Probably color
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return True
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else:
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# Grayscale
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return False
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elif len(v) == 1:
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# Black and white
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elif len(bands) == 1:
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return False
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else:
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# Detection failed
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return False
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