Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation

1 code implementation • 28 Mar 2016 • Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das

The paper proposes a novel Kernelized image segmentation scheme for noisy images that utilizes the concept of Smallest Univalue Segment Assimilating Nucleus (SUSAN) and incorporates spatial constraints by computing circular colour map induced weights.

Clustering Image Segmentation +1