The concise description of algorithms contains hyperlinks to further information (author, algorithms details, BIB entry, WWW external page).
The algorithm features are: f1 = classification (supervised segmentation), f2 = hiearchy result (manual selection), f3 = known number of regions, f4 = [reserved].
 Donoser, M. and Bischof, H. (2008). Using Covariance Matrices for Unsupervised Texture Segmentation. In Proceedings of International Conference on Pattern Recognition (ICPR) , Tampa, USA.
 Donoser, M. and Bischof, H. (2007). ROI-SEG: Unsupervised color segmentation by combining differently focused sub results. In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, USA.
Implementation by Sylwia Steginska
List of uploaded results for 'TEX-ROI-SEG' algorithm