Skip to content
#

foreground-extraction

Star

Here is 1 public repository matching this topic...

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

Star 1

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

Improve this page

Add a description, image, and links to the foreground-extraction topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the foreground-extraction topic, visit your repo's landing page and select "manage topics."

Learn more