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GitHub topics: lazy-snapping

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

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.

Language: Jupyter Notebook - Size: 8.25 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

danialkhilji/Lazy-Snapping-Image-Segmentation

The image segmentation is carried out using the Lazy Snapping technique based on the famous Lazy Snapping research paper.

Language: Python - Size: 12.3 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Related Keywords
image-segmentation 2 lazy-snapping 2 python 2 background-segmentation 1 cluster-centroids 1 euclidean-distance 1 foreground-extraction 1 jupyter-notebook 1 k-means-clustering 1 likelihood-computation 1 matplotlib 1 numpy 1 pandas 1 seed-pixels 1 computer-vision 1