python手記(40)

#!/usr/bin/env python#-*- coding: utf-8 -*-#code:myhaspl@qq.comimport cv2import numpy as npfn="test1.jpg"if __name__ == '__main__':    print 'http://blog.csdn.net/myhaspl'    print 'myhaspl@qq.com'    print    print 'loading %s ...' % fn    print 'working',    myimg1 = cv2.imread(fn)    w=myimg1.shape[1]    h=myimg1.shape[0]    sz1=w    sz0=h                   #建立空白映像     myimg2=np.zeros((sz0,sz1,3), np.uint8)       #對比產生線條    black=np.array([0,0,0])    white=np.array([255,255,255])    centercolor=np.array([125,125,125])    for y in xrange(0,sz0-1):        for x in xrange(0,sz1-1):            mydown=myimg1[y+1,x,:]            myright=myimg1[y,x+1,:]            myhere=myimg1[y,x,:]            lmyhere=sum(myhere)/3            lmyright=sum(myright)/3            lmydown=sum(mydown)/3            if abs(lmyhere-lmydown)>20 and abs(lmyhere-lmyright)>20:                myimg2[y,x,:]=black            elif abs(lmyhere-lmydown)<=20 and abs(lmyhere-lmyright)<=20:                myimg2[y,x,:]=white            else:                myimg2[y,x,:]=centercolor                            print '.',                  cv2.namedWindow('img2')         cv2.imshow('img2', myimg2)        cv2.waitKey()    cv2.destroyAllWindows()

本部落格所有內容是原創，未經書面許可，嚴禁任何形式的轉載http://blog.csdn.net/u010255642

python opencv邊緣檢測的簡單演算法，直接與下面和右邊的像素進行比較