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Proceedings Paper

Object extraction using genetic algorithms and morphological processing
Author(s): Hong Zheng; Li Pan; Saeid Nahavandi
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Paper 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.

Paper Details

Date Published: 13 September 2002
PDF: 7 pages
Proc. SPIE 4922, Color Science and Imaging Technologies, (13 September 2002); doi: 10.1117/12.483120
Show Author Affiliations
Hong Zheng, Wuhan Univ. (China) and Deakin Univ. (Australia)
Li Pan, Wuhan Univ. (China)
Saeid Nahavandi, Deakin Univ. (Australia)


Published in SPIE Proceedings Vol. 4922:
Color Science and Imaging Technologies
Dazun Zhao; Ming Ronnier Luo; Kiyoharu Aizawa, Editor(s)

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