DocumentCode
2352254
Title
Texture Segmentation. Gabor Filter Bank Optimization Using Genetic Algorithms
Author
Basca, Cosmin Adrian ; Brad, Remus
Author_Institution
Digital Enterprise Res. Inst., Galway
fYear
2007
fDate
9-12 Sept. 2007
Firstpage
331
Lastpage
335
Abstract
We are presenting a method of optimizing Gabor filter banks using an evolutionary approach. Texture segmentation has multiple usages from medical imaging to satellite terrain mapping. Gabor filters are the most widely used texture feature extractors. Multi-channel approach to texture segmentation using Gabor filters is subject to optimization. Genetic algorithms are used to generate an optimal filter bank for the source image.
Keywords
Gabor filters; feature extraction; genetic algorithms; image segmentation; image texture; Gabor filter bank optimization; evolutionary approach; feature extractors; genetic algorithms; optimal filter bank; source image; texture segmentation; Band pass filters; Biomedical engineering; Computer science; Filter bank; Frequency domain analysis; Gabor filters; Genetic algorithms; Genetic engineering; Image segmentation; Optimization methods; Gabor filter; genetic algorithm; texture segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
EUROCON, 2007. The International Conference on "Computer as a Tool"
Conference_Location
Warsaw
Print_ISBN
978-1-4244-0813-9
Electronic_ISBN
978-1-4244-0813-9
Type
conf
DOI
10.1109/EURCON.2007.4400544
Filename
4400544
Link To Document