17 lines
491 B
Python
17 lines
491 B
Python
from skimage import feature
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import matplotlib.pyplot as plt
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import cv2
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import numpy as np
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# 读取图像
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img = cv2.imread("2.jpg", cv2.IMREAD_GRAYSCALE)
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# 计算 LBP 图像
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radius = 3
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n_points = 8 * radius
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lbp = feature.local_binary_pattern(img, n_points, radius, method='uniform')
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# 统计 LBP 直方图
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hist, _ = np.histogram(lbp, bins=256, range=(0, 256))
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# 直方图熵（越高表示纹理越复杂）
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entropy = -np.sum(hist * np.log(hist + 1e-9))
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print(f"LBP Entropy: {entropy:.3f}") |