1 import cv2
 2 import numpy as np
 3 
 4 
 5 def olbp(src):
 6     dst = np.zeros(src.shape,dtype=src.dtype)
 7     for i in range(1,src.shape[0]-1):
 8         for j in range(1,src.shape[1]-1):
 9             pass
10             center = src[i][j]
11             code = 0;  
12             code |= (src[i-1][j-1] >= center) << 7;  
13             code |= (src[i-1][j  ] >= center) << 6;  
14             code |= (src[i-1][j+1] >= center) << 5;  
15             code |= (src[i  ][j+1] >= center) << 4;  
16             code |= (src[i+1][j+1] >= center) << 3;  
17             code |= (src[i+1][j  ] >= center) << 2;  
18             code |= (src[i+1][j-1] >= center) << 1;  
19             code |= (src[i  ][j-1] >= center) << 0;  
20   
21             dst[i-1][j-1]= code;  
22     return dst
23 
24 
25 lena = cv2.imread(‘d:/lena.jpg‘)
26 cv2.namedWindow(‘lena‘)
27 cv2.imshow(‘lena‘, lena)
28 cv2.waitKey(0)
29 
30 gray = cv2.cvtColor(lena,cv2.COLOR_RGB2GRAY)
31 x = olbp(gray)
32 
33 cv2.namedWindow(‘olbp‘)
34 cv2.imshow(‘olbp‘, x)
35 cv2.waitKey(0)