Texture classification using wavelet decomposition with Markov random field models

We present a new scheme to classify different textures. In the past years, wavelet decomposition has been used in texture classification. The usual features of classification are energy and entropy. In this paper, we propose a scheme to use wavelet decomposition with Markov random field models, the parameters of each Markov random field models are used as features in texture classification. Thus we can analyze the textures with Markov random field models on different scales with the wavelet decomposition