Micro-aneurysm detection using vessels removal and circular Hough transform

Author

Abdelazeem, Sherif

Author_Institution

Dept. of Electron. & Commun., Cairo Univ., Egypt

fYear

2002

fDate

2002

Firstpage

421

Lastpage

426

Abstract

A digital image processing system has been developed to quantify the presence of micro-aneurysms in retinal fluorescein angiographic images. Automatic detection of micro-aneurysm in retinal angiographic images provides a valuable tool for early diagnosis of diabetic retinopathy. A novel approach for detecting micro-aneurysm in retinal angiographic images is presented. The proposed scheme is based on the removal of blood vessels from the image and then classifying whether all detected circular objects are micro-aneurysms. The new technique provides significant improvement in the detection of micro-aneurysm over other currently available schemes in the literature.

Keywords

Hough transforms; blood vessels; eye; image classification; medical image processing; object detection; angiographic images; blood vessel removal; circular Hough transform; circular object detection; diabetic retinopathy; digital image processing; fluorescein angiography; image classification; micro-aneurysm detection; retinal images; Biomedical imaging; Blood vessels; Diabetes; Digital images; Diseases; Image segmentation; Object detection; Retina; Retinopathy; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Science Conference, 2002. (NRSC 2002). Proceedings of the Nineteenth National

Print_ISBN

977-5031-72-9

Type

conf

DOI

10.1109/NRSC.2002.1022650

Filename

1022650