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].
| scarpa's TFR/KLD |
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f1: 0 f2: 1 f3: 0 f4: 0 |
A Hierarchical Finite-State Model for Texture Segmentation It is an improved version of the TFR algorithm where the region gain has been changed by introducing a Kullback-Leibler Divergence (KLD) term modeling the region similarity in terms of spatial location. List of uploaded results for 'TFR/KLD' algorithm
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