import cv2

import copy

import os

def filter_srcimg(dstimg):

    ss=3

    srcimg=copy.deepcopy(dstimg)

    #aa=5

    imgw=srcimg.shape[0]

    imgh=srcimg.shape[1]

    border_mat=[[0]*imgw]*imgh

    for ddd in range(0,1):

        for i in range(20,imgw-20):

            for j in range(20,imgh-20):

                loss=(8*float(srcimg[i][j][0])-float(srcimg[i-ss][j-ss][0])-float(srcimg[i-ss][j][0])-float(srcimg[i][j-ss][0])-float(srcimg[i-ss][j+ss][0])-float(srcimg[i+ss][j-ss][0])-float(srcimg[i][j+ss][0])-float(srcimg[i+ss][j][0])-float(srcimg[i+ss][j+ss][0]))/8

                if loss>10 or srcimg[i][j][0]>180:

                    #print loss

                    #print "####,",srcimg[i][j][0]

                    border_mat[i][j]=1

                    #res=int((float(srcimg[i-aa][j-aa][0])+float(srcimg[i-aa][j][0])+float(srcimg[i][j-aa][0]))/3)

                    res=int(float(srcimg[i][j][0])-loss*3)

                    if res<0:

                        res=0

                    dstimg[i][j][0]=res

                    dstimg[i][j][1]=dstimg[i][j][0]

                    dstimg[i][j][2]=dstimg[i][j][0]

        #return dstimg

if __name__=='__main__':

    for elem in os.listdir(os.getcwd()):

        if '.py' not in elem:

            img=cv2.imread(elem)

            cv2.imshow("",img)

            cv2.waitKey(0)

            filter_srcimg(img)

            cv2.imshow("",img)

            cv2.waitKey(0)

img=cv2.imread("ddd.png")

img[0][0][0]=100