Texture Analysis using Markov process with Bayesian Approach

Abstract: To analysis the textures in the image and that are identified and distinguished from untextured regions with edges. To represent the textures present in a small image region. Proposed texture analysis methods such as texture Identification, unique representation, description, and classification. The parameters of the model are estimated based on the Bayesian approach. To obtain the significance of the texture based on the classification method we processed two types of classification namely supervised and unsupervised classification

Keywords: Markov process, Classification, Textured, Untextured