Cart (Loading....) | Create Account
Close category search window

A multidimensional Modelling approach to texture classification and segmentation

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 $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)
Gambotto, J. ; Ecole Nationale Supérieure des télécommunications, PARIS, FRANCE ; Gueguen, C.

The interest of an inverse filtering approach to picture modelling and recognition is emphasized. Following these lines, a multidimensional vector AR model is fitted to a reference region using a generalized Levinson procedure. The models of other regions are then used as inverse filters on the reference for classification. The approach is applied to natural pictures for recognition and segmentation using the textural features only. Some advantages of vector models over current bidimensional recursive models are indicated.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.  (Volume:4 )

Date of Conference:

Apr 1979

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.