Threshold_Simple

import cv2 
import numpy as np

#import image as Gray-scale
img = cv.imread('C:\\Users\\Admin\\Downloads\\thresholding\\gradient.jpg',0)

#Different types of Simple Threshold
ret,thresh1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
ret,thresh2 = cv2.threshold(img,127,255,cv2.THRESH_BINARY_INV)
ret,thresh3 = cv2.threshold(img,127,255,cv2.THRESH_TRUNC)
ret,thresh4 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO)
ret,thresh5 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO_INV)

vis1 = np.concatenate((img, thresh1, thresh2), axis=1)
vis2 = np.concatenate((thresh3, thresh4, thresh5), axis=1)

cv2.imshow("ORIGINAL vs THRESH_BINARY vs THRESH_BINARY_INV", vis1)
cv2.imshow("THRESH_TRUNC vs THRESH_TOZERO vs THRESH_TOZERO_INV", vis2)
cv2.waitKey(0)         
cv2.destroyAllWindows()