Performing Truncate Thresholding on an Image Using OpenCV

In this program, we will perform truncate 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 truncate thresholding, values greater than the threshold are reduced to the threshold value. Every other pixel remains the same.

Original Image

Algorithm

Step 1: Import cv2.
Step 2: Define 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_TRUNC)
cv2.imshow('TruncateThresholding', image)

Output