Edge detection in optical images using auto-organization

Fucheng Liu; Lifang Dong; Yafeng He; Weili Fan

doi:10.1117/12.782687

21 November 2007 Edge detection in optical images using auto-organization

Fucheng Liu, Lifang Dong, Yafeng He, Weili Fan

Proceedings Volume 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 672304 (2007) https://doi.org/10.1117/12.782687
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

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.

Citation Download Citation

Fucheng Liu, Lifang Dong, Yafeng He, and Weili Fan "Edge detection in optical images using auto-organization", Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 672304 (21 November 2007); https://doi.org/10.1117/12.782687

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