Rough Set Classification Algorithms Based on Texture Feature

Yan Xue Dong; Fu Hai Huang

doi:10.4028/www.scientific.net/AMM.347-350.3119

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Rough Set Classification Algorithms Based on...

Rough Set Classification Algorithms Based on Texture Feature

Abstract:

The basic theory of rough set is given and a method for texture classification is proposed. According to the GCLM theory, texture feature is extracted and generate 32 feature vectors to form a decision table, find a minimum set of rules for classification after attribute discretization and knowledge reduction, experimental results show that using rough set theory in texture classification, accompanied by appropriate discrete method and reduction algorithm can get better classification results