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Proceedings Paper

Study on living object identification based on genetic algorithms
Author(s): Yao Wang; Mu-di Xiong; Si-nan Jia
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Paper Abstract

Fast and effectual salvage can reduce accident loss, ensure people's lives and belongings safely when shipwreck occurs. It is very important that discovering objects should be timely and exactly to insure the salvage going on wheels. This text puts forward an object identification arithmetic based on Genetic Algorithms, which makes use of Genetic Algorithms to search living objects in the sea based on different infrared radiation characteristics between living objects and background, uses single point crossover method and simple mutation method with adaptive probability, ensures the global and local searching ability of Genetic Algorithms. Thus GA can accomplish searching course of optimization quickly and exactly with favorable searching ability. From identification test aiming at standard infrared image, it is seen that the image is strengthened by Genetic Algorithms, and the living objects can be identified exactly.

Paper Details

Date Published: 17 January 2008
PDF: 6 pages
Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67231Q (17 January 2008); doi: 10.1117/12.783203
Show Author Affiliations
Yao Wang, Dalian Maritime Univ. (China)
Mu-di Xiong, Dalian Maritime Univ. (China)
Si-nan Jia, Dalian Maritime Univ. (China)


Published in SPIE Proceedings Vol. 6723:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Junhua Pan; James C. Wyant; Hexin Wang, Editor(s)

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