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Proceedings Paper

Edge detection by evolutionary optimization and evolutionary minimization of cost function
Author(s): Ming Li; Xiaoqin Yang
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Paper Abstract

In this paper we present an edge detection method based on evolutionary techniques. The edge detection is casted as an optimization problem which minimizes cost function. Similar to the Bhandarkar's approach, the cost function is constrained by accurate localization, thinness, curvature, continuity and length. However, the proposed method uses evolutionary techniques not only for the search of minimum of the cost function, but also for the formulation of optimal structure of cost function. The usefulness of this method is demonstrated by showing experimental results of detected edges.

Paper Details

Date Published: 3 October 2000
PDF: 4 pages
Proc. SPIE 4220, Advanced Photonic Sensors: Technology and Applications, (3 October 2000); doi: 10.1117/12.401733
Show Author Affiliations
Ming Li, Nanchang Institute of Aeronautical Technology (China)
Xiaoqin Yang, Nanchang Institute of Aeronautical Technology (China)

Published in SPIE Proceedings Vol. 4220:
Advanced Photonic Sensors: Technology and Applications
Jinfa Tang; Chao-Nan Xu; Haizhang Li, Editor(s)

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