Image Segmentation via Normalized Cuts with Implementation Details

Well-organized MATLAB implementation of Normalized Cut algorithm for image segmentation, tested with sample images and verified on MATLAB 2012b. The program features clear structure with corresponding paper documentation. Key implementation steps include converting images into affinity matrices, initializing all pixels as graph vertices, iterative partitioning through spectral clustering, and final segmentation into N subgraphs based on threshold parameters.