DocumentCode :
2764582
Title :
Contrast Enhancement of Retinal Vasculature in Digital Fundus Image
Author :
Fadzil, M. H Ahmad ; Nugroho, H. Adi ; Nugroho, H. ; Iznita, I. Lila
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2009
fDate :
7-9 March 2009
Firstpage :
137
Lastpage :
141
Abstract :
Analyzing retinal fundus image is important for early detection of diseases related to the eye. However, in fundus images the contrast between retinal blood vessels and the background is very low. Hence, analyzing or visualizing tiny blood vessels is difficult. Fluorescein angiogram overcomes this imaging problem but it is an invasive procedure that leads to other physiological problems. In this work, we enhance the low contrast of retinal vasculature in the ocular fundus image by determining the retinal pigments makeup, namely haemoglobin, melanin and macular pigment using independent component analysis. Independent component image due to haemoglobin pigment obtained exhibits higher contrast retinal vasculature. Even though the fundus fluorescein angiograph method produces higher contrast images, results show that this approach outperforms other noninvasive enhancement method, such as contrast limited adaptive histogram equalization and can be beneficial for vessel segmentation. Contrast enhancement factor of 3.2 for digital retinal images is achieved. This improvement in contrast reduces the need of applying contrasting agent on patients.
Keywords :
blood vessels; data visualisation; diseases; eye; image enhancement; image segmentation; independent component analysis; medical image processing; proteins; contrast enhancement; digital retinal fundus image; eye disease detection; fluorescein angiogram; haemoglobin pigment; independent component analysis; macular pigment; melanin pigment; retinal blood vessel visualization; retinal pigment makeup; retinal vasculature; vessel segmentation; Adaptive equalizers; Biomedical imaging; Blood vessels; Diseases; Histograms; Image analysis; Independent component analysis; Pigments; Retina; Visualization; contrast enhancement; fundus images; independent component analysis; retinal vasculature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Processing, 2009 International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-3565-4
Type :
conf
DOI :
10.1109/ICDIP.2009.32
Filename :
5190517
Link To Document :
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