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].
version BHAT/KL area-weighted/-unweighted
General statistical region merging - unsupervised - 10 bins
General region merging technique based on a size-weighted/size-unweighted direct statistical measure of the empirical distributions of the regions, using the Kullback-Leibler divergence/Bhattacharyya coefficient.
This version is UNSUPERVISED, meaning that the number of regions is automatically selected using a significance index.
In this implementation, empirical distributions were quantized to 10 bins.
List of uploaded results for 'GSRM unsup.' algorithm