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Proceedings Paper

Gradient-based genetic algorithms in image registration
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Paper Abstract

Two modifications of Genetic algorithm (GA) are proposed that employ gradient analysis of the fitness function and are integrated with the main genetic procedure. Combination of the relative weighted error factor and adaptive size of the mutation pool accelerates convergence of the iterative process and indicates When the global optimum um solution is found. Local gradient correction of the initial pool during interactions refines the search procedure. Computational experiments show that both modifications can increase efficiency of GA when they are applied to an image registration problem.

Paper Details

Date Published: 22 October 2001
PDF: 12 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445400
Show Author Affiliations
Igor V. Maslov, CUNY/Graduate Center (United States)
Izidor Gertner, CUNY/City College (United States)

Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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