Method of detecting kink-bearing vessels in a retinal fundus image

Author

Wong, Damon W K ; Liu, Jiang ; Lim, Jiang Hwee ; Tan, Ngan Meng ; Zhang, Zhuo ; Li, Huiqi ; Lu, Shijian ; Wong, Tien Yin

Author_Institution

Inst. for Infocomm Res., A*STAR, Singapore, Singapore

fYear

2010

fDate

15-17 June 2010

Firstpage

1690

Lastpage

1694

Abstract

Glaucoma is the second leading cause of blindness worldwide. The risk of glaucoma can be determined by calculating the cup to disc ratio in retinal fundus images. To accurately detect the optic cup, kinks or bends in small and medium vessels are important indicators of the cup boundary. In this paper, we present a method of detecting such vessels, through the extraction of patches and generation of hybrid features in a SVM-based model. The segmentation results show good potential for the further development of this method.

Keywords

biomedical imaging; blood vessels; diseases; eye; feature extraction; image classification; image segmentation; medical image processing; support vector machines; vision defects; wavelet transforms; SVM-based model; blindness; computer aided detection; cup boundary; glaucoma; kink-bearing vessel; optic cup; retinal fundus image; Blindness; Boring; Diseases; Image converters; Image edge detection; Image segmentation; Retina; Support vector machine classification; Support vector machines; Surfaces; SVM; computer aided detection; glaucoma; optic cup; vessels;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on

Conference_Location

Taichung

Print_ISBN

978-1-4244-5045-9

Electronic_ISBN

978-1-4244-5046-6

Type

conf

DOI

10.1109/ICIEA.2010.5515225

Filename

5515225