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

Multiscale segmentation of remotely sensed images using pairwise Markov chains

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)
Papila, I. ; Fac. of Electr. & Electron. Eng., Istanbul Tech. Univ., Turkey ; Ersoy, O.

Among the statistical approaches to image modeling, Markov random fields have recently gained significant attention, especially in texture segmentation. Different from Markov random fields, in pairwise Markov chains, the class field is not necessarily a Markov field, an advantage in the segmentation of texture images without any model approximation. Supervised texture segmentation of a multiscale image is introduced in a pairwise Markov chain tree model using the wavelet domain. The essence of this tree-structured probabilistic graph is based on capturing the statistical properties of the wavelet transforms and the intrinsic characters of textural regions of any multispectral image.

Published in:

Antennas and Propagation Society International Symposium, 2004. IEEE  (Volume:2 )

Date of Conference:

20-25 June 2004

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.