
Proceedings Paper
Edge detection by evolutionary optimization and evolutionary minimization of cost functionFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
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
Published in SPIE Proceedings Vol. 4220:
Advanced Photonic Sensors: Technology and Applications
Jinfa Tang; Chao-Nan Xu; Haizhang Li, Editor(s)
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)
© SPIE. Terms of Use
