Referenced Items are not available for this document.
This paper presents a fast method for automated detection of blood vessels in retinal images. Edges of blood vessels are first extracted by Sobel operators. To make the algorithm fast, edge thinning is employed to preserve only one seed point along each cross section of the vessels. Local windowing and local thresholding are then applied to each preserved seed point to transform the local gray-scale images to a binary map. Twelve binary matched filters are employed to search for vessel segments and the final vessel map is obtained by a single-linkage region growing technique with adaptive thresholds.
Published in:
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
(Volume:2
)
Date of Conference: 2-5 Nov. 1997
- Page(s):
- 1700 - 1704 vol.2
- Meeting Date :
- 02 Nov 1997-05 Nov 1997
- ISSN :
- 1058-6393
- Print ISBN:
- 0-8186-8316-3
- INSPEC Accession Number:
- 6026846
- Conference Location :
- Pacific Grove, CA, USA
- Digital Object Identifier :
- 10.1109/ACSSC.1997.679192
- Product Type:
- Conference Publications
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