# Rich Radke, Rensselaer Polytechnic Institute-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>" %}

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