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Learning texture discrimination rules in a multiresolution system

Greenspan, H. and Goodman, R. and Chellappa, R. and Anderson, C. H. (1994) Learning texture discrimination rules in a multiresolution system. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16 (9). pp. 894-901. ISSN 0162-8828. https://resolver.caltech.edu/CaltechAUTHORS:20190315-142400129

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Abstract

We describe a texture analysis system in which informative discrimination rules are learned from a multiresolution representation of time textured input. The system incorporates unsupervised and supervised learning via statistical machine learning and rule-based neural networks, respectively. The textured input is represented in the frequency-orientation space via a log-Gabor pyramidal decomposition. In the unsupervised learning stage a statistical clustering scheme is used for the quantization of the feature-vector attributes. A supervised stage follows in which labeling of the textured map is achieved using a rule-based network. Simulation results for the texture classification task are given. An application of the system to real-world problems is demonstrated.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/34.310685DOIArticle
ORCID:
AuthorORCID
Anderson, C. H.0000-0003-1141-3559
Additional Information:© 1994 IEEE. Manuscript received August 1, 1992; revised November 30, 1993. This work was supported in part by Pacific Bell, and in part by ARPA and ONR under grant no, N00014-92-J-1860. H. Greenspan was supported in part by an Intel fellowship. This research was carried out in part by the Jet Propulsion Laboratories, California Institute of Technology. Professor R. Chellappa’s work was supported in part by an NSF Grant MIP 91-00655.
Funders:
Funding AgencyGrant Number
Pacific BellUNSPECIFIED
Advanced Research Projects Agency (ARPA)UNSPECIFIED
Office of Naval Research (ONR)N00014-92-J-1860
IntelUNSPECIFIED
JPL/CaltechUNSPECIFIED
NSFMIP 91-00655
Issue or Number:9
Record Number:CaltechAUTHORS:20190315-142400129
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190315-142400129
Official Citation:H. Greenspan, R. Goodman, R. Chellappa and C. H. Anderson, "Learning texture discrimination rules in a multiresolution system," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 9, pp. 894-901, Sept. 1994. doi: 10.1109/34.310685
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93891
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:15 Mar 2019 21:37
Last Modified:09 Mar 2020 13:18

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