Adaptive_thresholding1.py

import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread("imgs/chapter5/text2.png", 0); 
#img = cv2.blur(img, (3, 3))


# threshold -> 127
# maxval    -> 255
# Output:
#        0-127     -> 0
#       127-255    -> 255
ret,thresh1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
thresh2 = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,95,2)

f = plt.figure(figsize=(15,25))
f.add_subplot(3, 1, 1).set_title('Original Image');
plt.imshow(img, cmap = "gray")
f.add_subplot(3, 1, 2).set_title('Simple Thresholded Image');
plt.imshow(thresh1, cmap = "gray");
f.add_subplot(3, 1, 3).set_title('Adaptive Thresholded Image');
plt.imshow(thresh2, cmap = "gray");
plt.show()