21 April 1995 Accurate set-up of Gabor filters for texture classification
Author Affiliations +
Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206794
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan
Abstract
Gabor filters are of particular interest to the computer vision community because the profiles of the two dimensional Gabor functions have been shown to closely approximate the receptive field profiles of particular simple cells in the visual cortex of certain mammals. However, only a few values for the parameters of the Gabor function can generate a large number of filters that makes practical implementation impossible. Moreover, the process of adjusting the parameters of these functions to obtain the 'best' set is not straightforward. In this paper we describe a new reliable and systematic method for setting up Gabor filters for texture classification. Texture is an intrinsic property of images and is thus an important feature for computer vision. Gabor filters are used to extract the features from local neighborhoods of the texture images and have been tuned for the classification of initially; naturally occurring textures from Brodatz's album and then different grades of Ceramic filters used in molten metal filtration.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Devesh Patel, Devesh Patel, T. John Stonham, T. John Stonham, } "Accurate set-up of Gabor filters for texture classification", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206794; https://doi.org/10.1117/12.206794
PROCEEDINGS
10 PAGES


SHARE
RELATED CONTENT

An improved multi-scale autoconvolution transform
Proceedings of SPIE (November 24 2014)
A region finding method to remove the noise from the...
Proceedings of SPIE (December 08 2015)
VEST - The Visual. Expert Syptep Testbed
Proceedings of SPIE (March 26 1986)
Template generation for pattern classification
Proceedings of SPIE (June 01 1992)

Back to Top