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Identification of Noise in the Fundus Images

Ahmad Fadzil, Mohd Hani and Soomro, Toufique A. and Ibrahima, Faye and Nidal S., Kamel and Yahya, Norashikin (2013) Identification of Noise in the Fundus Images. In: IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2013), 29th Nov-1st Dec 2013, Penang.

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Abstract

Analysis of the tiny retinal vasculatures in retinal fundus images becomes difficult due to very low and varied contrast between the retinal vasculature and the background. Fundus fluorescein angiogram overcomes these problems and provides an excellent visualization of the retinal vasculature; however it is an invasive procedure requiring injection of contrasting agents. Further investigation of the RETICA method, a non-invasive method of image enhancement developed earlier, is reported in this paper. It was found that noise is present in the Retinex image. Thus, the identification of the noise in the Retinex image and its removal has been the focus of this research paper. The method used to identify noise is based on adaptive wiener filters (additive, multiplicative, and additive plus multiplicative filters) and the fundus model image and real fundus images are applied to these filters. It is observed that retinal fundus images contained both additive and multiplicative noise. The noise is reduced by using adaptive wiener filter (additive plus multiplicative adaptive wiener filter) based method which resulted in 2.84db an improvement in PSNR.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Academic Subject One:Image and Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:10933
Deposited By: Ms Norashikin Yahya
Deposited On:16 Dec 2013 23:47
Last Modified:16 Dec 2013 23:47

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