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Proceedings Paper

Edge detection in optical images using auto-organization
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Paper Abstract

Edge detection is one of the most demanding tasks in optical image processing for artificial vision and image matching works. In this paper, the self organization theory is used for edge detection. A new algorithm based on a two variable reaction-diffusion equations is proposed. A stable edge pattern can be obtained by choosing suitable control parameters. Compared with the conventional methods, such as Soble, Prewitt and Robert detectors, the new algorithm indicates a higher accuracy and continuity for the image. Moreover, it can also extract exactly the edge of the human face image.

Paper Details

Date Published: 21 November 2007
PDF: 5 pages
Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 672304 (21 November 2007); doi: 10.1117/12.782687
Show Author Affiliations
Fucheng Liu, Hebei Univ. (China)
Lifang Dong, Hebei Univ. (China)
Yafeng He, Hebei Univ. (China)
Weili Fan, Hebei Univ. (China)


Published in SPIE Proceedings Vol. 6723:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Junhua Pan; James C. Wyant; Hexin Wang, Editor(s)

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