Bhandari, Dinabandhu ; Murthy, C. A. ; Pal, Sankar K. (2009) Image enhancement using multi-objective genetic algorithms Lecture Notes in Computer Science, 5909 . pp. 309-314. ISSN 0302-9743
Full text not available from this repository.
Official URL: http://www.springerlink.com/content/j6977858668559...
Related URL: http://dx.doi.org/10.1007/978-3-642-11164-8_50
Abstract
Given an image, there is no unique measure to quantitatively judge the quality of an image enhancement operator. It is also not clear which measure is to be used for the given image. The present work expresses the problem as a multi-objective optimization problem and a methodology has been proposed based on multi-objective genetic algorithm (MOGA). The methodology exploits the effectiveness of MOGA for searching global optimal solutions in selecting an appropriate image enhancement operator.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Springer. |
| Keywords: | Image Enhancement; Multi Objective Genetic Algorithms; Ambiguity Measures |
| ID Code: | 77743 |
| Deposited On: | 14 Jan 2012 12:09 |
| Last Modified: | 14 Jan 2012 12:09 |
Repository Staff Only: item control page
