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36 regels
883 B
36 regels
883 B
# 正则化图像
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def regularizeImage(img, size = (9, 8)):
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return img.resize(size).convert('L')
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# 计算hash值
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def getHashCode(img, size = (9, 8)):
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result = []
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for i in range(size[0] - 1):
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for j in range(size[1]):
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current_val = img.getpixel((i, j))
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next_val = img.getpixel((i + 1, j))
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if current_val > next_val:
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result.append(1)
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else:
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result.append(0)
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return result
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# 比较hash值
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def compHashCode(hc1, hc2):
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cnt = 0
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for i, j in zip(hc1, hc2):
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if i == j:
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cnt += 1
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return cnt
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# 计算差异哈希算法相似度
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def caldHashSimilarity(img1, img2):
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img1 = regularizeImage(img1)
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img2 = regularizeImage(img2)
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hc1 = getHashCode(img1)
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hc2 = getHashCode(img2)
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return compHashCode(hc1, hc2)
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__all__ = ['caldHashSimilarity']
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