A competition in unsupervised color image segmentation

0459179 - ÚTIA 2017 RIV GB eng J - Journal Article
Haindl, Michal - Mikeš, Stanislav
A competition in unsupervised color image segmentation.
Pattern Recognition. Roč. 57, č. 9 (2016), s. 136-151. ISSN 0031-3203. E-ISSN 1873-5142
R&D Projects: GA ČR(CZ) GA14-10911S
Institutional support: RVO:67985556
Keywords : Unsupervised image segmentation * Segmentation contest * Texture analysis
Subject RIV: BD - Theory of Information
Impact factor: 4.582, year: 2016
http://library.utia.cas.cz/separaty/2016/RO/haindl-0459179.pdf

A competition in unsupervised color image segmentation took place in conjunction with the 22nd International Conference on Pattern Recognition (ICPR 2014). It aimed to promote evaluation of unsupervised color image segmentation algorithms using publicly available data sets, and to allow for any subsequent methods to be easily evaluated and compared with the results of the contested methods under identical conditions. Our comparison of different methods is based on the standard methodology of performance assessment using an on-line verification server. We present in this paper the evaluation of the top six results submitted to the ICPR 2014 contest in unsupervised color image segmentation and compare them with 11 other state-of-the-art unsupervised image segmenters.
Permanent Link: http://hdl.handle.net/11104/0259701