On combining Learning Vector Quantization and the Bayesian classifiers for natural textured images

Abstract

One objective for classifying textures in natural images is to achieve the best performance possible. Unsupervised techniques are suitable when no prior knowledge about the image content is available. The main drawback of unsupervised approaches is its worst performance as compared against supervised ones. We propose a new unsupervised hybrid approach based… (More)

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Cite this paper

@inproceedings{Guijarro2007OnCL, title={On combining Learning Vector Quantization and the Bayesian classifiers for natural textured images}, author={Mar{\'i}a Guijarro and Raquel Abreu and Gonzalo Pajares}, year={2007} }