OPENCV & C++ TUTORIALS - 128 | partition() | Clustering colors - features

Опубликовано: 13 Февраль 2026
на канале: Computer Vision Lab
290
6

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