Maskeleme

import numpy as np
	import matplotlib.pyplot as plt
	im1=[[1,0],[0,0]]
	im2=[[0,1],[0,0]]
	im3=[[0,0],[1,0]]
	im4=[[0,0],[0,1]]
	em1=[[0,1],[1,1]]
	em2=[[1,0],[1,1]]
	em3=[[1,1],[0,1]]
	em4=[[1,1],[1,0]]
	im1 = [im1, im2, im3, im4]
	em1 = [em1, em2, em3, em4]
	img1 = plt.imread("t.jpg")
	img1
	plt.imshow(img1, plt.cm.binary)
	plt.show()
	img1.ndim
	img1.shape
	def count_internal_mask(image):
	counter_internal = 0
	for mask in im1:
	counter_internal = counter_internal + count_mask(image, mask)
	return counter_internal
	def count_external_mask(image):
	counter_external = 0
	for mask in em1:
	counter_external = counter_external + count_mask(image, mask)
	return counter_external
	def count_mask(image, mask):
	counter = 0
	m = img1.shape[0]
	n = img1.shape[1]
	for i in range(m-1):
	for j in range(n-1):
	a = b = c = d = False
	if(img1[i,j][0] == mask[0][0]):
	a = True
	if (img1[i,j+1][0] == mask[0][1]):
	b = True
	if (img1[i+1,j][0] == mask[1][0]):
	c = True
	if (img1[i+1,j+1][0] == mask[1][1]):
	d = True
	if (a and b and c and d):
	counter = counter + 1
	return counter
	c1 = count_internal_mask(img1)
	c2 = count_external_mask(img1)
	c1, c2