用python实现LBP特征点计算

 import cv2
 import numpy as np

 def olbp(src):
     dst = np.zeros(src.shape,dtype=src.dtype)
     for i in range(1,src.shape[0]-1):
         for j in range(1,src.shape[1]-1):
             pass
             center = src[i][j]
             code = 0;
             code |= (src[i-1][j-1] >= center) << 7;
             code |= (src[i-1][j  ] >= center) << 6;
             code |= (src[i-1][j+1] >= center) << 5;
             code |= (src[i  ][j+1] >= center) << 4;
             code |= (src[i+1][j+1] >= center) << 3;
             code |= (src[i+1][j  ] >= center) << 2;
             code |= (src[i+1][j-1] >= center) << 1;
             code |= (src[i  ][j-1] >= center) << 0;  

             dst[i-1][j-1]= code;
     return dst

 lena = cv2.imread('d:/lena.jpg')
 cv2.namedWindow('lena')
 cv2.imshow('lena', lena)
 cv2.waitKey(0)

 gray = cv2.cvtColor(lena,cv2.COLOR_RGB2GRAY)
 x = olbp(gray)

 cv2.namedWindow('olbp')
 cv2.imshow('olbp', x)
 cv2.waitKey(0)