Rotation and gray-scale-invariant texture analysis using radon and differential radon transforms based hidden Markov models

This study carries out rotation and gray-scale-invariant texture analysis of the textures in Brodatz album. A radon and differential radon transform based technique has been proposed to extract the features of the different textures at different orientations. These features have been used to train one-dimensional hidden Markov models - one for each texture. Testing and classification was done using percentage of correct classification (PCC) as figure of merit. The best percentage achieved was 99.9%.