Adaptive image segmentation system

Image analysis – Histogram processing – For setting a threshold

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382 15, 364513, G06K 934

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050480952

ABSTRACT:
An adaptive segmentation system that utilizes a genetic algorithm in image segmentation. The system incorporates a closed-loop feedback mechanism in the segmentation/learning cycle. The system can adapt to changes appearing in the images being segmented, caused by variations of such factors as time and weather. Adaptation is achieved with a measure based on differences of analyzed past imagery and current imagery and on the criteria for segmentation quality. The invention is not dependent on any particular segmentation algorithm or specific sensor type.

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G. E. Liepins & M. R. Hilliard, "Genetic Algorithms: Foundations & Applications", Anna ls of Operations Research, 21, (1989), pp. 31-58.
J. M. Fitzpatrick, J. J. Grefenstette & D. Van Gucht, "Image Registration by Genetic Search", Conf. Proc., IEEE Southeastcon 1984, pp. 460-464.
A. D. McAulay & J. C. Oh, "Image Learning Classifier System Using Genetic Algorithms", IEEE Proc. of the National Aerospace & Electronics Conference, vol. 2, 1989, pp. 705-710.

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