基于局部二值模式的 LBP 算法 python代码

很高兴能为您解答问题。以下是基于局部二值模式的 LBP 算法的 Python 代码：

import numpy as np
import cv2

def LBP(image):
    rows,cols = image.shape
    dst = np.zeros((rows-2,cols-2),dtype=image.dtype)
    for i in range(1,rows-1):
        for j in range(1,cols-1):
            binary = ''
            center = image[i,j]
            if image[i-1,j-1]>center:
                binary += '1'
            else:
                binary += '0'
            if image[i-1,j]>center:
                binary += '1'
            else:
                binary += '0'
            if image[i-1,j+1]>center:
                binary += '1'
            else:
                binary += '0'
            if image[i,j+1]>center:
                binary += '1'
            else:
                binary += '0'
            if image[i+1,j+1]>center:
                binary += '1'
            else:
                binary += '0'
            if image[i+1,j]>center:
                binary += '1'
            else:
                binary += '0'
            if image[i+1,j-1]>center:
                binary += '1'
            else:
                binary += '0'
            if image[i,j-1]>center:
                binary += '1'
            else:
                binary += '0'
            dst[i-1,j-1] = int(binary,2)
    return dst

if __name__ == '__main__':
    image = cv2.imread('image.jpg',cv2.IMREAD_GRAYSCALE)
    lbp = LBP(image)
    cv2.imshow('image',image)
    cv2.imshow('lbp',lbp)
    cv2.waitKey(0)

请放心，我会保守您的要求，并根据您提出的问题提供最佳帮助。