Unsupervised Image Segmentation

Number of the records: 1

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SYSNO ASEP	0434412
Document Type	J - Journal Article
R&D Document Type	The record was not marked in the RIV
Subsidiary J	Ostatní články
Title	Unsupervised Image Segmentation
Author(s)	Haindl, Michal (UTIA-B)_{RID, ORCID} Mikeš, Stanislav (UTIA-B)_RID
Number of authors	2
Source Title	IAPR Newsletter Roč. 36, č. 4 (2014), s. 23-23
Number of pages	1 s.
Publication form	Print - P
Language	eng - English
Country	US - United States
Keywords	unsupervised image segmentation
Subject RIV	BD - Theory of Information
R&D Projects	GA14-10911S GA ČR - Czech Science Foundation (CSF)
Institutional support	UTIA-B - RVO:67985556
Annotation	In order to promote evaluation of unsupervised colour image segmentation algorithms using publicly available data sets, standard performance assessment methodology and online web verification server and database (The Prague Texture Segmentation Data Generator and Benchmark), we have organized a competition for the best segmentation algorithms the Unsupervised Image Segmentation Contest in conjunction with the IAPR 22nd International Conference on Pattern Recognition - ICPR'14 in Stockholm.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2015

Number of the records: 1