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We present an object recognition approach using co-occurrence similarities of Gabor magnitude textures in this paper. A novel image descriptor, multichannel Gabor magnitude co-occurrence matrices (MGMCMs), is designed to characterize Gabor textures for object representation and similarity matching. The descriptor is a generalization of multichannel color co-occurrence matrices (MCMs), which focus...
A novel texture classification method of matching co- occurrence matrices (CMs) on statistical manifold is presented. The manifold framework is stemmed from the assumption that the co-occurred pixel pairs of a texture image under a specific parameter setting is a realization of underlying probability distribution. The dissimilarity between texture images can be evaluated by the divergence between...
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