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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guisong Wang Kinser, J. |
| Copyright Year | 2005 |
| Description | Author affiliation: Sch. of Comput. Sci., George Mason Univ., Fairfax, VA, USA (Guisong Wang; Kinser, J.) |
| Abstract | Neural models of the mammalian visual cortex have been used in digital image processing for many years. The neural models have demonstrated a robust talent for extracting image segments that are inherent in the image. This paper explores the use of a simple neural model for the extraction of texture information. The neural firing patterns in the model are dependent upon the input texture and by examining the neural patterns it is possible to classify the texture in the input image. Two applications presented here are the comparison of performance to other texture analysis techniques using two standard databases and the classification of texture regions in a medical image. |
| Sponsorship | IEEE Comput. Soc. Tech. Comm. on Pattern Analysis and Machine Intelligence |
| Starting Page | 55 |
| Ending Page | 60 |
| File Size | 4427523 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769522505 |
| ISSN | 15505219 |
| DOI | 10.1109/AIPR.2004.44 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-10-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Brain modeling Data mining Digital images Robustness Image segmentation Image analysis Image texture analysis Performance analysis Image databases Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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