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Image processing / Science / Artificial intelligence / Computer vision / Logic in computer science / Segmentation / Fuzzy control system / Fuzzy clustering / Fuzzy set / Logic / Mathematical logic / Fuzzy logic


Genetic algorithm for optimizing fuzzy image pattern matching Janne Koljonen and Jarmo T. Alander Department of Electrical Engineering and Automation, University of Vaasa P.O. Box 700, FIN-65101, Vaasa, Finland jako@uwas
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Document Date: 2006-10-19 04:44:00


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City

Addison-Wesley / Vaasa / Hausdorf / New York / /

Company

Brooks/Cole Publishing Company / Reichenbach / John Wiley & Sons Inc. / Prentice-Hall / Pearson / /

Country

United States / Finland / /

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Facility

Acknowledgements The Research Institute / University of Vaasa P.O. Box / University of Vaasa / /

IndustryTerm

binary image processing operators / stochastic search strategy / Genetic algorithm / fuzzy systems / image processing / genetic algorithms / express image processing operators / search space / local search strategy / face detection algorithm / using genetic algorithm / optimized using a stochastic search strategy / /

Organization

Janne Koljonen and Jarmo T. Alander Department of Electrical Engineering and Automation / University of Vaasa / Research Institute for Technology / Pattern Analysis and Machine Intelligence / /

Person

Timo Rautakoura / M. Sonka / V / C.R. Maurer Jr. / Hannu K. Niinimäki / /

ProvinceOrState

New Jersey / California / New York / Georgia / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Proceedings of SPIE / Lecture Notes in Computer Science / /

Technology

face detection algorithm / X-ray / Machine Vision / Human Faces Detection Method using Genetic Algorithm / fuzzy logic / genetic algorithm / 3 Genetic algorithm / genotype / Fuzzy Clustering Algorithm / image processing / Medical Imaging / /

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