Title :
Unsupervised Image Segmentation Contest
Author :
Haindl, M. ; Mikes, S.
Author_Institution :
Inst. of Inf. Theor. & Autom., Prague, Czech Republic
Abstract :
The unsupervised color image segmentation competition is taking place in conjunction with the ICPR 2014 conference. It aims to promote evaluation of unsupervised color image segmentation algorithms using publicly available data sets. The results evaluation is based on the standard performance assessment methodology using the online web verification server. We present in this paper the top six preliminary results submitted to this contest till the ICPR paper submission deadline.
Keywords :
file servers; image colour analysis; image segmentation; performance evaluation; unsupervised learning; online Web verification server; standard performance assessment methodology; unsupervised color image segmentation algorithms; unsupervised image segmentation contest; Benchmark testing; Clustering algorithms; Color; Computer vision; Histograms; Image segmentation; Pattern recognition;
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
DOI :
10.1109/ICPR.2014.264
