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].
test's
Blobworld
BIB
WEB
f1: 0
f2: 0
f3: 0
f4: 0
Ch. Carson & M. Thomas & S. Belongie & J. M. Hellerstein & J. Malik:   Blobworld: A System for Region-based Image Indexing and Retrieval

Blobworld is a system for content-based image retrieval. By automatically segmenting each image into regions which roughly correspond to objects or parts of objects, we allow users to query for photographs based on the objects they contain.

List of uploaded results for 'Blobworld' 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] Blobworld 21.01 7.33 9.30 59.55 61.68 41.45 58.94 46.23 56.04 73.62 43.96 6.72 58.37 40.36 7.96 61.31 31.16 23.19 56.72 48.75 56.04 45.75 48.66 31.11 61.54 12.33 32.70 57.36 20.03 39.74 36.22 51.87 52.90 55.64 52.32 12.18