Performing inverse zero thresholding on an image using OpenCV

In this program, we will perform inverse zero thresholding on an image using openCV. Thresholding is a process in which the value of each pixel is changed in relation to a threshold value. The pixel is given a certain value if it is less than the threshold and some other value if it is greater than the threshold. In inverse zero thresholding, pixels having intensity value greater than the threshold value are set to 0.

Original Image


Step 1: Import cv2.
Step 2: Define the threshold and max_val.
Step 3: Pass these parameters in the cv2.threshold value and specify the type of thresholding you want to do.
Step 4: Display the output.

Example Code

import cv2

image = cv2.imread('testimage.jpg')
threshold_value = 120
max_val = 255
ret, image = cv2.threshold(image, threshold_value, max_val, cv2.THRESH_TOZERO_INV)
cv2.imshow('InverseZeroThresholding', image)


Updated on: 17-Mar-2021


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