Retina image–based optic disc segmentation
| Autor: | Meng-Hsiun Tsai, Ming-Yuan Hsieh, Yi-Wen Hung, Kwong-Chung Tung, Jui-Ming Chen, Mao-Hsiang Chan, Ching-Lin Wang |
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| Rok vydání: | 2016 |
| Předmět: |
genetic structures
020205 medical informatics Computer science lcsh:Mechanical engineering and machinery Glaucoma 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Medical imaging medicine lcsh:TJ1-1570 Computer vision Retina business.industry Mechanical Engineering Diabetic retinopathy Image segmentation Macular degeneration medicine.disease eye diseases medicine.anatomical_structure Optic nerve 020201 artificial intelligence & image processing sense organs Artificial intelligence business Optic disc |
| Zdroj: | Advances in Mechanical Engineering, Vol 8 (2016) |
| ISSN: | 1687-8140 |
| DOI: | 10.1177/1687814016649298 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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