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].
richtto6's
Histogram ratio features
version 1.0
SRC
f1: 0
f2: 0
f3: 0
f4: 0
Tomas Richtr:   Histogram ratio features for color texture classification

Implementation of classification by article Histogram ratio features for color texture classification for MI-ROZ.

List of uploaded results for 'Histogram ratio features' 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 [large] Histogram ratio features 1.0 16.11 5.98 4.29 73.23 72.02 42.22 42.20 44.89 58.26 63.62 41.74 8.42 57.73 37.40 7.84 59.26 41.71 33.31 55.30 46.91 58.26 47.82 47.16 34.47 57.32 13.02 44.32 51.56 19.57 40.46 37.45 52.98 53.20 52.27 54.60 10.37