Title :
Texture Segmentation. Gabor Filter Bank Optimization Using Genetic Algorithms
Author :
Basca, Cosmin Adrian ; Brad, Remus
Author_Institution :
Digital Enterprise Res. Inst., Galway
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;
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
DOI :
10.1109/EURCON.2007.4400544
