An automated blood vessel extraction algorithm in fundus images

Author

Saleh, Marwan D. ; Eswaran, C.

Author_Institution

Centre for Visual Comput., Multimedia Univ., Cyberjaya, Malaysia

fYear

2012

fDate

4-7 Oct. 2012

Firstpage

1

Lastpage

5

Abstract

This paper focuses on the extraction of retinal blood vessels which play vital roles in early diagnosis and prevention of several diseases, such as hypertension, diabetes, arteriosclerosis, cardiovascular disease and stroke. The proposed algorithm takes advantage of powerful image processing techniques such as, contrast enhancement, filtration and thresholding for more efficient segmentation. To evaluate the performance of the proposed algorithm, experiments are conducted on 40 images collected from DRIVE database. The results show that the proposed algorithm yields better results compared to other known algorithms.

Keywords

biomedical optical imaging; blood vessels; eye; feature extraction; image segmentation; medical image processing; DRIVE database; arteriosclerosis; automated blood vessel extraction algorithm; cardiovascular disease; contrast enhancement; diabetes; disease prevention; early disease diagnosis; filtration; fundus images; hypertension; image segmentation; retinal blood vessel extraction; stroke; thresholding; Algorithm design and analysis; Biomedical imaging; Blood vessels; Gray-scale; Image segmentation; Retina; Transforms; Blood vessel segmentation; Contrast enhancement; Diabetic Retinopathy; H-maxima transform; Multilevel thresholding; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

978-1-4673-2559-2

Electronic_ISBN

978-1-4673-2558-5

Type

conf

DOI

10.1109/BIBM.2012.6392730

Filename

6392730