THRESHOLDING Original image Thresholded image Thresholding is a popular technique in digital image processing that is used to separate objects from their background. Basically in thresholding methods, either replace the pixels in an image with the black pixels, which is lower than that pre-defined constant T, or replaces with the white pixels, which is greater than that pre-defined constant T in the grayscale image. A color image can be thresholded as well but we have to threshold separately for each RGB component, combine them with AND operation. as you may know, 0 intensity is black and 255 intensity is white, so in this tutorial, I use an image whose intensity is o to 255. Ok, let's move on to the content In this blog, we talk about several thresholding techniques 1 - Binary Thresholding import cv2 as cv import numpy as np img = cv.imread('gradient.png',0) #in following methods if you confused about the (_,th1) varilable defined , the underscore #is used for ret...
