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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

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DIP Lecture 12a: Image Segmentation

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K-Means & Image Segmentation

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