Development of informative neighborhood selection technology for modeling texture images
نویسندگان
چکیده
The paper proposes a method for constructing an informative neighborhood for modeling texture images. To describe the characteristic features of textures used assumptions underlying model representation texture images described by using a Markov random field. The results of the conducted experimental researches confirm that application of the developed approach allows to reduce the dimensionality of the features space while preserving the reliability of the classification.
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