By Topic

Texture Segmentation. Gabor Filter Bank Optimization Using Genetic Algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Cosmin Adrian Basca ; Digital Enterprise Research Institute, Galway, Ireland ; Remus Brad

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.

Published in:

EUROCON, 2007. The International Conference on "Computer as a Tool"

Date of Conference:

9-12 Sept. 2007