Title :
A survey on automated detection of microaneurysm
Author :
Pradeep, Arun ; Joseph, X. Felix
Author_Institution :
Dept. of ECE, Noorul Islam Univ., Nagercoil, India
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;
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
DOI :
10.1109/ICCICCT.2014.6993189
