Title :
Genetic algorithms for automatic feature selection in a texture classification system
Author :
Stolpmann, Alexander ; Dooley, Laurence S.
Author_Institution :
Glamorgan Univ., UK
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
Keywords :
feature extraction; feedback; genetic algorithms; image classification; image texture; automatic feature selection; feature selectors; feedback structure; genetic algorithms; texture classification system; Clouds; Data mining; Electronic mail; Feature extraction; Feedback; Filtering; Genetic algorithms; Image edge detection; Image texture analysis; Statistical analysis;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770840