A Maximum Likelihood Approach to Texture Classification
- 1 January 1982
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Pattern Analysis and Machine Intelligence
- Vol. PAMI-4 (1), 61-68
- https://doi.org/10.1109/tpami.1982.4767197
Abstract
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.Keywords
This publication has 3 references indexed in Scilit:
- Texture Discrimination Based Upon an Assumed Stochastic Texture ModelIEEE Transactions on Pattern Analysis and Machine Intelligence, 1981
- Statistical and structural approaches to textureProceedings of the IEEE, 1979
- Textural Features for Image ClassificationIEEE Transactions on Systems, Man, and Cybernetics, 1973