Number of the records: 1
A competition in unsupervised color image segmentation
- 1.
SYSNO ASEP 0459179 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title A competition in unsupervised color image segmentation Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Mikeš, Stanislav (UTIA-B) RIDNumber of authors 2 Source Title Pattern Recognition. - : Elsevier - ISSN 0031-3203
Roč. 57, č. 9 (2016), s. 136-151Number of pages 16 s. Publication form Print - P Language eng - English Country GB - United Kingdom Keywords Unsupervised image segmentation ; Segmentation contest ; Texture analysis Subject RIV BD - Theory of Information R&D Projects GA14-10911S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 UT WOS 000376708000010 EID SCOPUS 84962097630 DOI 10.1016/j.patcog.2016.03.003 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2017
Number of the records: 1