TY  - CONF
KW  - Aldehydes; Biomedical engineering; Blood vessels; Eye protection; Image analysis; Image processing; Independent component analysis; Microcirculation; Ophthalmology; Optical data processing; Optical properties
KW  -  Contrast Enhancement; Diabetic retinopathy; Foveal avascular zones; macular images; Macular pigments; Retinal blood vessels; Retinal layers; Retinal pigment
KW  -  Image enhancement
N1  - cited By 10
SP  - 555
ID  - scholars494
TI  - Determination of retinal pigments from fundus images using independent component analysis
SN  - 16800737
Y1  - 2008///
EP  - 558
A1  - Fadzil, M.H.A.
A1  - Nugroho, H.A.
A1  - Venkatachalam, P.A.
A1  - Nugroho, H.
A1  - Izhar, L.I.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-78349290722&doi=10.1007%2f978-3-540-69139-6_139&partnerID=40&md5=50846994df4c19e3087e07badd70364f
AV  - none
N2  - In the macular area, there are fovea and foveal avascular zone. Foveal avascular zone is the fovea devoid of capillaries. Enlargement of the foveal avascular zone is found to be related to the severity of diabetic retinopathy. Particular colours observed in the retinal image correspond to the optical properties of the pigments and the structure of the retinal layers. In this work, we use independent component analysis to determine retinal pigments from fundus images. The results show that independent component analysis can be used to determine retinal pigments, namely haemoglobin, melanin, and macular pigment. This technique allows us to determine retinal blood vessels and the macula based on the distribution of haemoglobin and macular pigment. Contrast enhancement factor of 3.5 for digital retinal images is achieved. This improvement in contrast reduces the need of applying contrasting agent on patients. © 2008 Springer-Verlag.
PB  - Springer Verlag
VL  - 21 IFM
ER  -