Clustering in image processing is a very important topic in image processing. In the previous video we learnt about the kmeans. In this video I tried to explain partition() function. This function helps us to distinguish the colors(features) inside an image.
🌠 I will continue to this tutorial series with this plan : https://docs.opencv.org/4.3.0/modules...
🌠cv::partition() function: https://docs.opencv.org/4.x/d5/d38/gr...
🌠 You may want to watch also: • Push-up Counter Project with Python | Medi...
🌠 Stackoverflow: https://stackoverflow.com/users/11048...
🌠 Github: https://github.com/yunus-temurlenk?ta...
🌠 Twitter: / code_enjoy
🌠Hashnode: https://yunustemurlenk.hashnode.dev/
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
0:00 - Introduction
1:18 - Coding part
If you see any mistake and any advice please comment. Thanks for watching...
#opencv, #tutorial, #partition