Paper
6 December 2002 Efficient image reduction for image registration with evolutionary algorithm
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Igor V. Maslov and Izidor Gertner "Efficient image reduction for image registration with evolutionary algorithm", Proc. SPIE 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, (6 December 2002); https://doi.org/10.1117/12.451006
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KEYWORDS
Image segmentation

Evolutionary algorithms

Image registration

Computer programming

Tolerancing

Fractal analysis

Image processing algorithms and systems

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