bushu

guanghuaban/LBP.py

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