Genetic algorithms for automatic feature selection in a textureclassification system

Stolpmann, Alexander and Dooley, Laurence S. (1998). Genetic algorithms for automatic feature selection in a textureclassification system. In: 4th International Conference on Signal Processing Proceedings (Yüan, Pao-tsung and Tang, Xiaofang eds.), IEEE Press, Piscataway, New Jersey, USA,, pp. 1229–1232.

DOI: https://doi.org/10.1109/ICOSP.1998.770840

Abstract

This paper describes the use of genetic 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 automatic feature selector is a useful part of the texture classification system. Furthermore a way of including the genetic algorithms into the system and the necessary feedback structure is explained

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About

• Item ORO ID
• 16640
• Item Type
• Conference or Workshop Item
• ISBN
• 0-7803-4325-5, 978-0-7803-4325-2
• Keywords
• feature extraction; feedback; genetic algorithms; image classification; image texture; automatic feature selection; feature selectors; feedback structure; genetic algorithms; texture classification system
• 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