Hani, A.F.M. and Ahmed Soomro, T. and Nugroho, H. and Nugroho, H.A. (2012) Enhancement of colour fundus image and FFA image using RETICA. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Diabetic Retinopathy (DR) is a vision loss impairment due to complications arising from the diabetic condition and affects the retina and resulting pathologies can be monitored by analysing the colour fundus image. However, in retinal fundus images, the contrast between the retinal vasculature and the background is very low and varies within the image making visualisation and analysis of small retinal vasculatures difficult. Therefore, enhancement of the fundus image is important to provide the best visualization of the retinal blood vessels. Fluorescein angiogram overcomes this imaging problem but it is invasive and leads to other physiological problems. In this research work, a non-invasive digital image enhancement technique called RETICA has been developed that overcomes the problem of varied and low contrast in fundus images. RETICA first normalises the varied contrast using a Retinex based method that separates the illumination from the reflectance part of the image followed by ICA that forms the original retinal pigment makeup namely the macular, haemoglobin and melanin retinal pigment. The haemoglobin image exhibits the highest contrast for retinal vessels. Results based on a dataset of 13 fundus images show that RETICA successfully normalises the low and varied contrast and enhances the retinal vessels. It achieved a better average contrast improvement factor of up to 5.56 compared to the invasive FFA with 5.34. This improvement in contrast reduces the need for fluorescein angiogram in DR assessment. © 2012 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 15; Conference of 2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 ; Conference Date: 17 December 2012 Through 19 December 2012; Conference Code:96763 |
Uncontrolled Keywords: | Average contrasts; Contrast Enhancement; Diabetic retinopathy; Digital image enhancement; RETICA; Retinal blood vessels; Retinal fundus images; Retinal vasculature, Biomedical engineering; Eye protection; Image enhancement; Medical image processing; Ophthalmology; Visualization, Flood control |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:50 |
Last Modified: | 09 Nov 2023 15:50 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/2461 |