Referenced Items are not available for this document.
We present a new scheme to classify different textures. In the past years, wavelet decomposition has been used in texture classification. The usual features of classification are energy and entropy. In this paper, we propose a scheme to use wavelet decomposition with Markov random field models, the parameters of each Markov random field models are used as features in texture classification. Thus we can analyze the textures with Markov random field models on different scales with the wavelet decomposition
Published in:
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
(Volume:2
)
Date of Conference: 16-20 Aug 1998
- Page(s):
- 1613 - 1615 vol.2
- Meeting Date :
- 16 Aug 1998-20 Aug 1998
- ISSN :
- 1051-4651
- Print ISBN:
- 0-8186-8512-3
- INSPEC Accession Number:
- 6104150
- Conference Location :
- Brisbane, Qld.
- Digital Object Identifier :
- 10.1109/ICPR.1998.712024
- Product Type:
- Conference Publications
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
