import cv2
import numpy as np
from matplotlib import pyplot as plt

img = cv2.imread('../../images/receipt.jpg', 0)
img = cv2.medianBlur(img, 5)

ret, th1 = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
th2 = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 2)
th3 = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)

titles = ['Original Image', 'Global Thresholding (v = 127)',
	'Adaptive Mean Thresholding', 'Adaptive Gaussian Thresholding']
images = [img, th1, th2, th3]

for i in xrange(4):
	plt.subplot(2,2,i+1), plt.imshow(images[i], 'gray')
	plt.title(titles[i])
	plt.xticks([]), plt.yticks([])
plt.show()
