Threshold_Adaptive

import cv2
import numpy as np

img = cv.imread('C:\\Users\\Admin\\Downloads\\thresholding\\annefrank_diary.jpg',0)

#Simple Thresholding
ret,thresh1 = cv.threshold(img,127,255,cv2.THRESH_BINARY)

#Different types of Adaptive Thresholding
thresh2 = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,11,2)
thresh3 = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,11,2)

vis1 = np.concatenate((img, thresh1), axis=1)
vis2 = np.concatenate((thresh2, thresh3), axis=1)

cv2.imshow("ORIGINAL vs THRESH_BINARY", vis1)
cv2.imshow("ADAPTIVE_THRESH_MEAN_C vs ADAPTIVE_THRESH_GAUSSIAN_C", vis2)
cv2.waitKey(0)         
cv2.destroyAllWindows()