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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 September 1999, Aachen, Germany.

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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.

Item Type: Conference Item
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 16564
Depositing User: Laurence Dooley
Date Deposited: 29 May 2009 09:00
Last Modified: 02 Dec 2010 20:30
URI: http://oro.open.ac.uk/id/eprint/16564
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