The image segmentation is carried out using the Lazy Snapping technique based on the famous Lazy Snapping research paper.
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Updated
Jun 14, 2021 - Python
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lazy-snapping
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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
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Updated
Jun 17, 2024 - Jupyter Notebook
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