Pal, Sankar K. ; Bhandari, Dinabandhu ; Kundu, Malay K. (1994) Genetic algorithms for optimal image enhancement Pattern Recognition Letters, 15 (3). pp. 261-271. ISSN 0167-8655
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/016786...
Related URL: http://dx.doi.org/10.1016/0167-8655(94)90058-2
Abstract
Genetic algorithms represent a class of highly parallel adaptive search processes for solving a wide range of optimization and machine learning problems. The present work is an attempt to demonstrate their adaptivity and effectiveness for searching global optimal solutions in selecting an appropriate image enhancement operator automatically.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to International Association for Pattern Recognition. |
| Keywords: | Pattern Recognition; Image Enhancement; Genetic Algorithms; Ambiguity Measures |
| ID Code: | 26083 |
| Deposited On: | 06 Dec 2010 13:07 |
| Last Modified: | 13 Jun 2011 05:22 |
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