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 | |||||||||
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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. | |||||||||
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DOI: | 10.1109/ISIT.1991.695342 | |||||||||
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: | INVALID USER | |||||||||
Deposited On: | 20 Jun 2017 15:17 | |||||||||
Last Modified: | 15 Nov 2021 17:38 |
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