Title :
Texture segmentation benchmark
Author :
Michal Haindl;Stanislav Mikes
Author_Institution :
Institute of Information Theory and Automation, of the ASCR, 182 08 Prague, Czech Republic
Abstract :
The Prague texture segmentation data-generator and benchmark is a web based (http://mosaic.utia.cas.cz) service designed to mutually compare and rank different texture segmenters, and to support new segmentation and classification methods development. The benchmark verifies their performance characteristics on monospectral, multispectral, bidirectional texture function (BTF) data and enables to test their noise robustness, scale, and rotation or illumination invariance. It can easily be used for other applications such as feature selection, image compression, and query by pictorial example, etc. The benchmark functionalities are demonstrated on five previously published image segmentation algorithms evaluation.
Keywords :
"Image segmentation","Benchmark testing","Layout","Humans","Image databases","Information theory","Design automation","Noise robustness","Lighting","Image coding"
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Print_ISBN :
978-1-4244-2174-9
DOI :
10.1109/ICPR.2008.4761118