A texture classification system with automatic feature vector optimization using genetic algorithms

Stolpmann, Alexander and Dooley, Laurence S. (1999). A texture classification system with automatic feature vector optimization using genetic algorithms. In: 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT’99), 13-16 Sep 1999, Aachen, Germany.

URL: http://www.eufit.org/

Abstract

This paper describes the use of genetic algorithms in a complex modular image processing system for texture classication. This is part of a system developed within a research project concerning the classication of genuine texture. An attempt is made to underline why an automatic feature vector optimization module is a useful part of the texture classication system. Furthermore the way of including the genetic algorithms into the system and the necessary feedback structure is explained.

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About

• Item ORO ID
• 16564
• Item Type
• Conference or Workshop Item
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Depositing User
• Laurence Dooley