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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.

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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.

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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

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