Joint Adaptive Median Binary Patterns for texture classification
New method for texture analysis and classification. Adaptive approach to extract the local patterns is proposed. Combining different information with the joint histogram. New multiscale scheme of the texture cue is proposed. The classification accuracy reach high rates and robustness for impulse noise.
adaptive median texture classification multiscale impulse noise local binary pattern rotation invariance