> For the complete documentation index, see [llms.txt](https://capellac.gitbook.io/opencv/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://capellac.gitbook.io/opencv/week3/untitled.md).

# Rich Radke, Rensselaer Polytechnic Institute-Image Segmentation

DIP Lecture 12a: Image Segmentation

1. Basic Region Growing
2. Region Split and Merge
3. Clustering and Superpixels

   1. K-Means clustering
   2. Modification of K-Means used in image processing: Superpixels
   3. SLIC(simple linear iterative clustering) superpixels (there are more methods)
   4. Graph Cut Segmentation

## DIP Lecture 12a: Image Segmentation

{% embed url="<https://www.youtube.com/watch?v=ZF-3aORwEc0>," %}

## K-Means & Image Segmentation

{% embed url="<https://www.youtube.com/watch?v=yR7k19YBqiw>" %}

![](https://2797135393-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M99TkJnCKaTvw9u9gQJ%2F-MD-98H7J6-MCJGy6jTL%2F-MD-FmbK_rqDrMR0yh1J%2FconfusingThings.jpg?alt=media\&token=8f897c14-280c-40aa-b6cc-e2a4a7289095)