The Prague Texture Segmentation Datagenerator and Benchmark - Algorithms
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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].
felipecalderero's
GSRM MARKOV unsup.
version BHAT/KL area-weighted/-unweighted
WEB
DOC
f1: 0
f2: 0
f3: 0
f4: 0
Felipe Calderero:   General statistical region merging MARKOV - unsupervised - 10 bins

List of uploaded results for 'GSRM MARKOV unsup.' algorithm
   benchmark label version CS OS US ME NE O C CA CO CC I II EA MS RM CI GCE LCE BCE GBCE BGM SC SSC VD L AVI NVI NMI M ARI JC DC FMI WI WII NBDE
#Colour [normal] GSRM MARKOV unsup. BHAT area-weighted 47.31 24.59 29.10 3.31 3.46 31.65 36.53 59.88 67.49 76.27 32.51 5.40 66.84 57.99 9.47 69.10 5.59 3.95 40.24 38.61 67.49 63.16 63.31 17.84 70.00 7.40 19.68 74.66 17.83 57.08 52.66 65.85 69.80 74.52 74.61 9.07
Colour [normal] GSRM MARKOV unsup. KL area-weighted 54.70 15.14 23.71 5.49 4.55 24.79 31.43 63.98 71.55 75.39 28.45 4.53 69.79 61.55 8.77 71.46 6.75 4.81 35.49 33.56 71.55 67.70 67.48 16.16 73.83 6.79 19.22 74.98 17.61 61.29 57.57 69.20 72.50 73.38 80.01 9.00
#Colour [normal] GSRM MARKOV unsup. BHAT area-unweighted 19.40 8.96 58.24 14.89 13.72 66.84 45.37 36.85 51.99 57.98 48.01 17.42 44.18 30.20 14.90 47.83 11.56 6.66 58.56 53.66 51.99 48.39 43.58 26.36 51.35 10.97 27.32 50.34 39.77 27.64 34.86 49.39 55.05 39.24 84.65 13.72
#Colour [normal] GSRM MARKOV unsup. KL area-unweighted 16.79 5.50 50.36 27.57 27.67 58.99 43.96 35.43 51.13 61.73 48.87 18.40 43.72 28.22 15.34 48.20 15.99 9.27 60.39 53.66 51.13 46.34 41.78 27.84 51.61 11.55 28.80 47.60 41.07 25.36 33.70 48.46 53.43 36.75 82.20 12.73