Image segmentation - general superpixel segmentation & center detection & region growing

Superpixel Sampling Networks (ECCV2018)

Python implementation of LSC algorithm, (C) Zhengqin Li, Jiansheng Chen, 2014

Codes for our paper "Boundary-Enhanced Self-Supervised Learningfor Brain Structure Segmentation"

Image Segumnetation by Applying the Superpixel Algorithm to Images

This project provides an interactive GUI tool to accelerate image annotation by leveraging superpixel segmentation. It uses SLIC-based superpixels to divide images into coherent regions, enabling users to label entire segments instead of individual pixels, significantly reducing annotation time and effort.

A simple command line tool that uses K-Means clustering and SLIC segmentation to categorize pixels within an image into their respective clusters and super pixels