Paper Title:
Noise Characteristics Based on Genetic Algorithm Optimizations of Image Reconstruction
  Abstract

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
Chapter
Chapter 4: Mechatronics and Information
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, 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
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Price
$32.00
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