Rotation invariant texture descriptors based on Gaussian Markov random fields for classification ?
Rotation invariant descriptors based on Local Parameter Histograms are proposed. Two approaches are suggested which produce RI-LPH and I-LPH descriptors. RI-LPH descriptor is formulated by circular shifting the neighbour values. I-LPH descriptor is generated using isotropic GaussianMarkov Random Fields. Both descriptors achieve higher classification accuracies in invariant texture analysis.
rotational invariance gaussianmarkov random field texture features texture classification