davidstutz/superpixel-benchmark
C++ benchmark comparing 28 superpixel algorithms across 5 datasets for image segmentation evaluation.

This repository provides an extensive evaluation framework for comparing state-of-the-art superpixel algorithms. It includes implementations of 28 different superpixel methods and evaluation tools for metrics like boundary recall, undersegmentation error, and explained variation. Built with C++ and OpenCV, the benchmark supports standardized comparison on multiple datasets and is accompanied by peer-reviewed research published in Computer Vision and Image Understanding.