Superpixels and Polygons Using Simple Non-Iterative Clustering

Radhakrishna Achanta; Sabine Susstrunk

CVPR 2017poster575 citations

Superpixels and Polygons Using Simple Non-Iterative Clustering

Abstract

We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the start, requires lesser memory, and is faster. Relying on the superpixel boundaries obtained using our algorithm, we also present a polygonal partitioning algorithm. We demonstrate that our superpixels as well as the polygonal partitioning are superior to the respective state-of-the-art algorithms on quantitative benchmarks.

BibTeX

@inproceedings{cvpr2017_superpixelsandpo,
  title = {Superpixels and Polygons Using Simple Non-Iterative Clustering},
  author = {Radhakrishna Achanta and Sabine Susstrunk},
  booktitle = {CVPR 2017},
  year = {2017}
}