python实现纹理分析算法

以下是Python实现LBP算法的示例代码：

import cv2
import numpy as np

def LBP(img):
    height, width = img.shape
    dst = np.zeros((height-2, width-2), dtype=img.dtype)
    for i in range(1, height-1):
        for j in range(1, width-1):
            center = img[i, j]
            code = 0
            code |= (img[i-1, j-1] > center) << 7
            code |= (img[i-1, j] > center) << 6
            code |= (img[i-1, j+1] > center) << 5
            code |= (img[i, j+1] > center) << 4
            code |= (img[i+1, j+1] > center) << 3
            code |= (img[i+1, j] > center) << 2
            code |= (img[i+1, j-1] > center) << 1
            code |= (img[i, j-1] > center) << 0
            dst[i-1, j-1] = code
    return dst

img = cv2.imread('test.jpg', cv2.IMREAD_GRAYSCALE)
lbp = LBP(img)
cv2.imshow('LBP', lbp)
cv2.waitKey()

以上代码将图像进行了LBP处理，并将结果显示出来，可以根据实际需求进行修改和调整。