Detection of blood vessels in retinal images using two-dimensional matched filters

Author

Chaudhuri, Subhasis ; Chatterjee, Shankar ; Katz, Norman ; Nelson, Mark ; Goldbaum, Michael

Author_Institution

Dept. of Electr. Eng., California Univ., San Diego, La Jolla, CA, USA

Volume

8

Issue

3

fYear

1989

fDate

9/1/1989 12:00:00 AM

Firstpage

263

Lastpage

269

Abstract

Blood vessels usually have poor local contrast, and the application of existing edge detection algorithms yield results which are not satisfactory. An operator for feature extraction based on the optical and spatial properties of objects to be recognized is introduced. The gray-level profile of the cross section of a blood vessel is approximated by a Gaussian-shaped curve. The concept of matched filter detection of signals is used to detect piecewise linear segments of blood vessels in these images. Twelve different templates that are used to search for vessel segments along all possible directions are constructed. Various issues related to the implementation of these matched filters are discussed. The results are compared to those obtained with other methods

Keywords

blood; eye; patient diagnosis; picture processing; 2D matched filters; Gaussian-shaped curve; blood vessels detection; edge detection algorithms; feature extraction operator; gray-level profile; optical properties; piecewise linear segments; retinal images; spatial properties; templates; Biomedical imaging; Blood vessels; Feature extraction; Gaussian approximation; Image edge detection; Image segmentation; Matched filters; Optical filters; Piecewise linear approximation; Retina;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.34715

Filename

34715