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Texture Classification Using Information Theory

Greenspan, Hayit K. and Goodman, Rodney M. (1991) Texture Classification Using Information Theory. In: Proceedings. 1991 IEEE International Symposium on Information Theory. IEEE , Piscataway, NJ, p. 286. ISBN 0-7803-0056-4. https://resolver.caltech.edu/CaltechAUTHORS:20170619-165121573

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Abstract

Visual texture is one of the most fundamental properties of a visible surface. It participates as one of the major modalities which help us in the understanding of our visual environment. The different textures in an image are usually very apparent to a human observer, but automatic description of these patterns has proved to be complex.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ISIT.1991.695342DOIArticle
http://ieeexplore.ieee.org/document/695342/PublisherArticle
Additional Information:© 1991 IEEE. This work is supported in part by the Army Research Office under contract No. DAAL03-89-K-0126, and in part by DARPA under contract no. AFOSR-90-0199.
Funders:
Funding AgencyGrant Number
Army Research Office (ARO)DAAL03-89-K-0126
Air Force Office of Scientific Research (AFOSR)90-0199
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Record Number:CaltechAUTHORS:20170619-165121573
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170619-165121573
Official Citation:H. K. Greenspan and R. M. Goodman, "Texture Classification Using Information Theory," Proceedings. 1991 IEEE International Symposium on Information Theory, 1991, pp. 286-286. doi: 10.1109/ISIT.1991.695342
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78350
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:20 Jun 2017 15:17
Last Modified:03 Oct 2019 18:07

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