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Proceedings Paper

Surface target edge detection based on local energy model in sea clutter background
Author(s): Wenbo Su; Zelin Shi; Lin Qi
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Paper Abstract

Most of edge detection algorithms are based on the gradient method. When texture is complex, especially in scale light background, the image may be cluttered. Thus, it is hard to find useful information in the edge map. In this article, a local energy model, which is relative to Human Vision System (HVS), is proposed to detect robust and useful edges. We give non-classic receptive field (Non-CRF) methods to detect interested edges. The experimental results show that the method we proposed in this paper is much better than gradient methods in detecting edges interested.

Paper Details

Date Published: 15 October 2012
PDF: 5 pages
Proc. SPIE 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy, 84191X (15 October 2012); doi: 10.1117/12.2010820
Show Author Affiliations
Wenbo Su, Shenyang Institute of Automation (China)
Zelin Shi, Shenyang Institute of Automation (China)
Lin Qi, Shenyang Institute of Automation (China)


Published in SPIE Proceedings Vol. 8419:
6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy
Yadong Jiang; Zhifeng Wang; Junsheng Yu, Editor(s)

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