Edge detection by evolutionary optimization and evolutionary minimization of cost function

Ming Li; Xiaoqin Yang

doi:10.1117/12.401733

3 October 2000 Edge detection by evolutionary optimization and evolutionary minimization of cost function

Ming Li, Xiaoqin Yang

Proceedings Volume 4220, Advanced Photonic Sensors: Technology and Applications; (2000) https://doi.org/10.1117/12.401733
Event: Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, 2000, Beijing, China

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.

Citation Download Citation

Ming Li and Xiaoqin Yang "Edge detection by evolutionary optimization and evolutionary minimization of cost function", Proc. SPIE 4220, Advanced Photonic Sensors: Technology and Applications, (3 October 2000); https://doi.org/10.1117/12.401733

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