DocumentCode
2870734
Title
Genetic algorithms for automatic feature selection in a texture classification system
Author
Stolpmann, Alexander ; Dooley, Laurence S.
Author_Institution
Glamorgan Univ., UK
Volume
2
fYear
1998
fDate
1998
Firstpage
1229
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770840
Filename
770840
Link To Document