import cv2
from matplotlib import pyplot as plt



if __name__ == '__main__':

    img = cv2.imread('/home/jps/Pictures/input.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()