Retina image–based optic disc segmentation. (May 2016)

• Record Type: Journal Article
• Authors: Wang, Ching-Lin; Hsieh, Ming-Yuan; Hung, Yi-Wen; Tsai, Meng-Hsiun; Chan, Mao-Hsiang; Chen, Jui-Ming; Tung, Kwong-Chung
• Is Part Of: Advances in mechanical engineering. Volume 8:Number 6(2016:Jun.)
• Publication Date: 2016-05
• Subjects: Retinal image -- optic disc segmentation -- image segmentation -- human identity recognition -- medical imaging; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814016649298
• Languages: English
• ISSNs: 1687-8132

Abstract

The change of optic disc can be used to diagnose many eye diseases, such as glaucoma, diabetic retinopathy and macular degeneration. Moreover, retinal blood vessel pattern is unique for human beings even for identical twins. It is a highly stable pattern in biometric identification. Since optic disc is the beginning of the optic nerve and main blood vessels in retina, it can be used as a reference point of identification. Therefore, optic disc segmentation is an important technique for developing a human identity recognition system and eye disease diagnostic system. This article hence presents an optic disc segmentation method to extract the optic disc from a retina image. The experimental results show that the optic disc segmentation method can give impressive results in segmenting the optic disc from a retina image.