Color texture classification method based on a statistical multi-model and geodesic distance
A statistical multi-model for color texture classification is proposed. We use perceptual color spaces HSV and Lab as an alternative of RGB. We use the copula theory to build our models for luminance and chrominance. We derive a closed-form of geodesic distance between two copulas. We use the Bayesian classifier to assess the performance of our multi-model.
color texture wavelet representation multivariate copula model rao geodesic distance bayesian classification lab and hsv color spaces dependence structure joint linear-circular model