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)