Feature selection for texture recognition based on image synthesis
- 1 November 1987
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. 17 (6) , 1087-1095
- https://doi.org/10.1109/tsmc.1987.6499322
Abstract
An efficient method for selection of features suitable for classification of textured images is presented. The spatial interaction of gray levels in a local neighborhood N is modeled by stochastic random field models. The estimates of the model parameters are taken as textural features denoted by fN. Selection of an N that would yield powerful features is done through visual examination of images synthesized using fN. Experimental studies involving nine different types of natural textures yield 97-percent classification accuracy.Keywords
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