Object extraction using genetic algorithms and morphological processing

Hong Zheng; Li Pan; Saeid Nahavandi

doi:10.1117/12.483120

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13 September 2002 Object extraction using genetic algorithms and morphological processing

Hong Zheng, Li Pan, Saeid Nahavandi

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Proceedings Volume 4922, Color Science and Imaging Technologies; (2002) https://doi.org/10.1117/12.483120
Event: Photonics Asia, 2002, Shanghai, China

Abstract

This paper introduces a novel methodology for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structuring element, which are derived using genetic algorithm operating. The population of morphological filters iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring elements using the evolution principles of genetic search. Experimental results of object extraction in high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method.

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Hong Zheng, Li Pan, and Saeid Nahavandi "Object extraction using genetic algorithms and morphological processing", Proc. SPIE 4922, Color Science and Imaging Technologies, (13 September 2002); https://doi.org/10.1117/12.483120

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