Texture Classification Using Wavelet Decomposition with Markov Random Field Models

Authors:
Affiliations:
Venue:
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Year:
1998

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Abstract

In this paper, 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.