By Topic

S-Gabor channel design for segmentation of modulated textures

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
$31 $31
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

3 Author(s)
Hickinbotham, S.J. ; Dept. of Comput. Sci., York Univ., UK ; Hancock, E.R. ; Austin, J.

This paper describes a method for designing a filter bank for segmenting modulation features in line textures. A new version of the S-Gabor filter of Heitger et al. (1992) is developed in which the range of frequencies covered by the filter can be easily controlled. A method of tuning S-Gabor filters to the modulation features in line textures is also presented. The candidate frequency set is obtained by selecting high-energy pixels in the Fourier power spectra of the texture images. In the resulting data set, low-frequency clutter is distinguished from pixels representing modulation features using Gustavson-Kessel fuzzy clustering. The filter bank that is obtained from these processes is used to segment images of fish scales, whereby regions corresponding to slow growth are characterized by attenuation of the spatial frequency of the growth-rings

Published in:

Image Processing and Its Applications, 1997., Sixth International Conference on  (Volume:2 )

Date of Conference:

14-17 Jul 1997