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areeba0 / Image-Segmentation-with-Lazy-Snapping-and-K-Means-Clustering

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This Jupyter notebook demonstrates image segmentation using Lazy Snapping and K-Means Clustering. It showcases how these algorithms can partition an image into segments based on pixel intensity and user-defined masks.

python numpy jupyter-notebook pandas matplotlib image-segmentation k-means-clustering foreground-extraction euclidean-distance cluster-centroids background-segmentation lazy-snapping seed-pixels likelihood-computation
  • Updated Jun 17, 2024
  • Jupyter Notebook

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