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A Maximum Likelihood Approach to Texture Classification
January 1982 (vol. 4 no. 1)
pp. 61-68
A. L. Vickers, Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12181.
J. W. Modestino, Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12181.
A new approach to texture classification is described which is based on measurements of the spatial gray-level co-occurrence probability matrix. This approach can make use of assumed stochastic models for texture in imagery and is an approximation to the statistically optimum maximum likelihood classifier. The efficacy of the approach is demonstrated through experimental results obtained with real-world texture data.
Citation:
A. L. Vickers, J. W. Modestino, "A Maximum Likelihood Approach to Texture Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 4, no. 1, pp. 61-68, Jan. 1982, doi:10.1109/TPAMI.1982.4767197
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