A survey on automated detection of microaneurysm

Author

Pradeep, Arun ; Joseph, X. Felix

Author_Institution

Dept. of ECE, Noorul Islam Univ., Nagercoil, India

fYear

2014

fDate

10-11 July 2014

Firstpage

1459

Lastpage

1461

Abstract

Diabetic retinopathy(DR)is a diabetic disease, when left untreated can lead to blindness or loss of vision. In order to detect DR at its early stage, the study of micro aneurysm (MA) is necessary. This paper focuses on the comparison of three novel methods used in the early detection of MAs. The three methods include morphological operation, spatial resolution and fractal analysis. The sensitivity and specificity of the three methods on fundus images are reviewed.

Keywords

biomedical optical imaging; blood vessels; diseases; eye; feature extraction; fractals; image reconstruction; image resolution; mathematical morphology; medical disorders; medical image processing; reviews; vision defects; automated microaneurysm detection; blindness; diabetic disease; diabetic retinopathy; early DR detection; early MA detection; fractal analysis; fundus image; microaneurysm detection sensitivity; microaneurysm detection specificity; morphological operation; review; spatial resolution; survey; vision loss; Aneurysm; Diabetes; Fractals; Image edge detection; Image resolution; Retina; Sensitivity; Diabetic Retinopathy; Morphological reconstruction; digital fundus image; micro aneurysms;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4799-4191-9

Type

conf

DOI

10.1109/ICCICCT.2014.6993189

Filename

6993189