The Prague Texture Segmentation Datagenerator and Benchmark - Algorithms
optimized
for

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].
david0432's
Cooperative Mum-Shah
version 1.1
f1: 0
f2: 0
f3: 1
f4: 0
David Perez, Felipe Calderero:   Cooperative Region Merging

Versions:  weighted memory / simple memory

List of uploaded results for 'Cooperative Mum-Shah' 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] Cooperative Mum-Shah 53.73 16.29 11.76 18.57 18.66 12.55 16.85 71.58 78.99 84.91 21.01 3.11 79.39 70.84 6.45 80.61 16.29 8.88 30.80 23.38 78.99 72.83 73.35 14.43 79.26 5.92 18.40 78.23 10.09 70.52 64.26 76.88 77.31 77.60 77.93 6.15
#Colour [normal] Cooperative Mum-Shah Weighted Memory 53.69 12.11 11.03 24.65 25.01 14.58 18.88 69.50 78.02 83.19 21.98 3.47 77.93 68.66 6.35 79.20 18.84 10.51 32.31 23.98 78.02 71.03 71.73 15.35 77.69 6.26 19.80 76.83 10.58 68.87 62.37 75.60 75.92 75.47 77.03 6.88
#Colour [normal] Cooperative Mum-Shah Simple Memory 53.84 5.99 11.67 27.38 28.16 15.76 19.18 70.32 78.83 83.96 21.18 3.25 77.93 69.40 6.51 79.53 17.42 9.28 30.67 22.53 78.83 72.81 72.73 14.76 77.30 5.90 18.54 77.89 10.27 70.66 65.32 77.30 77.58 75.81 79.92 6.78