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Proceedings Paper

Efficient image reduction for image registration with evolutionary algorithm
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Paper Abstract

The run time of the evolutionary algorithm for image registration depends on the time required for the evaluation of the fitness value of a parameter vector during one iteration. This time can be reduced if some preprocessing is employed prior to image registration resulting in image reduction. Two algorithms are compared that can be potentially used for preprocessing, fractal encoding and a simple segmentation technique. Numerical experiments show that both algorithms perform well and can be successfully applied to image reduction.

Paper Details

Date Published: 6 December 2002
PDF: 12 pages
Proc. SPIE 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, (6 December 2002); doi: 10.1117/12.451006
Show Author Affiliations
Igor V. Maslov, CUNY/Graduate Ctr. (United States)
Izidor Gertner, CUNY/City College (United States)


Published in SPIE Proceedings Vol. 4787:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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