Computer vision: Simple Image 

Thresholding 



import cv2 as cv

import numpy as np


img = cv.imread('gradient.png',0)

_, th1 = cv.threshold(img, 50, 255, cv.THRESH_BINARY)

_, th2 = cv.threshold(img, 200, 255, cv.THRESH_BINARY_INV)

_, th3 = cv.threshold(img, 127, 255, cv.THRESH_TRUNC)

_, th4 = cv.threshold(img, 127, 255, cv.THRESH_TOZERO)

_, th5 = cv.threshold(img, 127, 255, cv.THRESH_TOZERO_INV)



cv.imshow("Image", img)

cv.imshow("th1", th1)

cv.imshow("th2", th2)

cv.imshow("th3", th3)

cv.imshow("th4", th4)

cv.imshow("th5", th5)


cv.waitKey(0)

cv.destroyAllWindows() #close window


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data used in this video



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