lazy-snapping

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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.

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

danialkhilji / Lazy-Snapping-Image-Segmentation

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

python computer-vision image-segmentation lazy-snapping

Updated Jun 14, 2021
Python

vladimir-vasilyev / gradient-mesh

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"Image Vectorization using Optimized Gradient Meshes" с++ implementation of gradient mesh rendering and processing.

macos computer-graphics bezier siggraph image-vectorization gradient-mesh lazy-snapping raster-to-vector-converter

Updated Oct 11, 2026
C++

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