Genetic Algorithms for Automised Feature Selection in a Texture Classification System

نویسندگان

  • Alexander Stolpmann
  • Laurence S. Dooley
چکیده

This paper describes the usage of geoetic algorithms as feature selectors in a texture classification system. This is part of a system developed within a research project concerning the classification of genuine texture. An attempt is made to underline why an automised feature selector is a useful part of the texture classification system. Furthermore the way of including the genetic algorithms into the system and the necessary feedback structure is explained.

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Genetic algorithms for automatic feature selection in a textureclassification system

This paper describes the usage of geoetic algorithms as feature selectors in a texture classification system. This is part of a system developed within a research project concerning the classification of genuine texture. An attempt is made to underline why an automised feature selector is a useful part of the texture classification system. Furthermore the way of including the genetic algorithms...

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تاریخ انتشار 2009