eprintid: 524
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/05/24
datestamp: 2023-11-09 15:48:39
lastmod: 2023-11-09 15:48:39
status_changed: 2023-11-09 15:22:40
type: conference_item
metadata_visibility: show
creators_name: Hani, A.F.M.
creators_name: Nugroho, H.A.
title: Model-based retinal vasculature enhancement in digital fundus image using independent component analysis
ispublished: pub
keywords: Contrast Enhancement; Early detection; Fundus image; Haemoglobins; Imaging problems; Independent components; Low contrast; Macular pigments; Model-based; Non-invasive; Retinal blood vessels; Retinal pigment; Retinal vasculature, Aldehydes; Blood; Blood vessels; Distribution functions; Image processing; Imaging systems; Industrial electronics; Ophthalmology, Independent component analysis
note: cited By 2; Conference of 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 ; Conference Date: 4 October 2009 Through 6 October 2009; Conference Code:79286
abstract: Early detection of several diseases related to the retina can be analyzed from fundus images. However, in fundus images the contrast between retinal vasculature and the background is very low. Therefore, analyzing these tiny retinal blood vessels is difficult. Fluorescein angiogram overcomes this imaging problem; however, it is an invasive procedure that leads to other physiological problems. In this work, we develop a fundus image model based on probability distribution function of melanin, haemoglobin and macular pigment to represent melanin, retinal vasculature and macular region, respectively. Enhancement of the low contrast of retinal vasculature in the retinal fundus image is performed by separating the retinal pigments makeup, namely macular pigment, haemoglobin and melanin, using independent component analysis. Independent component image due to haemoglobin obtained exhibits higher contrast retinal blood vessels. Results show that this approach outperforms other non-invasive enhancement methods and can be beneficial for retinal vasculature segmentation. Contrast enhancement factor of 2.62 for a digital retinal fundus image model is achieved. This improvement in contrast reduces the need of applying contrasting agent on patients. © 2009 IEEE.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-76449088162&doi=10.1109%2fISIEA.2009.5356489&partnerID=40&md5=aad152c6281117d7ad113c85fc070c7e
id_number: 10.1109/ISIEA.2009.5356489
full_text_status: none
publication: 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings
volume: 1
place_of_pub: Kuala Lumpur
pagerange: 160-164
refereed: TRUE
isbn: 9781424446827
citation:   Hani, A.F.M. and Nugroho, H.A.  (2009) Model-based retinal vasculature enhancement in digital fundus image using independent component analysis.  In: UNSPECIFIED.