jSLIC : superpixels in ImageJ

Abstract

This paper presents the implementation and particular improvements on the superpixel clustering algorithm - SLIC (Simple Linear Iterative Clustering). The main contribution of the jSLIC is a significant speed-up of the original clustering method, transforming the compactness parameter such that the value is image independent, and a new post-processing step (after clustering) which now gives more reliable superpixels - the newly established segments are more homogeneous. The improvements of speed and quality are shown on real images. We implemented the new jSLIC in Java and made the source code publicly available. Also we created a plug-in in ImageJ/Fiji which is commonly used as a research and development platform in biology and medical imaging.