Classical Computer Vision-Based Image Segmentation methods like Thresholding, Region-Based, Edge Detection Based and Morphological Segmentation are explained in 1 post to make a quick start with this domain

import cv2
import numpy as np
img = cv2.imread("dog.jpg", cv2.IMREAD_GRAYSCALE)
_, segmented1 = cv2.threshold(img, 127,255,cv2.THRESH_BINARY)
print(segmented1)
cv2.imshow("Segmented Output Image", segmented1)
cv2.waitKey(0)
Basic Thresholding with background pixels = 0, foreground pixels = 255 “Image by Author”

Continue reading: https://towardsdatascience.com/image-segmentation-with-classical-computer-vision-based-approaches-80c75d6d995f?source=rss—-7f60cf5620c9—4

Source: towardsdatascience.com