By Topic

Texture segmentation using Gabor filters

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

1 Author(s)
Mital, D.P. ; Dept. of Health Inf., Univ. of Med. & Dentistry of New Jersey, Newark, NJ, USA

An unsupervised texture segmentation technique using multi-channel filtering has been proposed. The main advantage of this approach is that it can use simple statistics of gray values in the filtered images as texture features. This simplicity is due to the direct result of decomposition of the original image into several filtered images with limited spectral information. The main issues involved in this approach are: 1) functional characterization of the channels and number of channels, 2) extraction of appropriate texture features from the filtered images, 3) the relationship between the channels, and 4) integration of texture features from different channels to produce a reliable segmentation

Published in:

Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on  (Volume:1 )

Date of Conference:

2000