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Proceedings Paper

Novel method for edge detection of retinal vessels based on the model of the retinal vascular network and mathematical morphology
Author(s): Lei Xu; Xiaoxiang Zheng; Hengyi Zhang; Yajun Yu
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Paper Abstract

Accurate edge detection of retinal vessels is a prerequisite for quantitative analysis of subtle morphological changes of retinal vessels under different pathological conditions. A novel method for edge detection of retinal vessels is presented in this paper. Methods: (1) Wavelet-based image preprocessing. (2) The signed edge detection algorithm and mathematical morphological operation are applied to get the approximate regions that contain retinal vessels. (3) By convolving the preprocessed image with a LoG operator only on the detected approximate regions of retinal vessels, followed by edges refining, clear edge maps of the retinal vessels are fast obtained. Results: A detailed performance evaluation together with the existing techniques is given to demonstrate the strong features of our method. Conclusions: True edge locations of retinal vessels can be fast detected with continuous structures of retinal vessels, less non- vessel segments left and insensitivity to noise. The method is also suitable for other application fields such as road edge detection.

Paper Details

Date Published: 25 September 1998
PDF: 5 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323583
Show Author Affiliations
Lei Xu, Zhejiang Univ. (China)
Xiaoxiang Zheng, Zhejiang Univ. (China)
Hengyi Zhang, Zhejiang Univ. (China)
Yajun Yu, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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