Noise Characteristics Based on Genetic Algorithm Optimizations of Image Reconstruction

He Yan; Xiu Feng Wang

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Noise Characteristics Based on Genetic Algorithm...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

2116-2120

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.2116

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Online since:

October 2011

Authors:

He Yan, Xiu Feng Wang

Keywords:

Genetic Algorithm (GA), Image Reconstruction, Noise Characteristics

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