Noise Characteristics Based on Genetic Algorithm Optimizations of Image Reconstruction

Abstract:

Article Preview

GA approach suitable for solving object Recognition problem is described and evaluated using a series of simple model problems. Usually GA calculation produces enormous amount of data that contains rich information, of which only a tiny section is commonly utilized runs through the design optimization. An application of Genetic Algorithm optimization with Noise characteristics would give many insights into how to allocate various image reconstruction options in different echelons, GA employing a global search might identify a better solution in an different area of the search space.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

2116-2120

DOI:

10.4028/www.scientific.net/AMM.121-126.2116

Citation:

H. Yan and X. F. Wang, "Noise Characteristics Based on Genetic Algorithm Optimizations of Image Reconstruction", Applied Mechanics and Materials, Vols. 121-126, pp. 2116-2120, 2012

Online since:

October 2011

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.