High-performance recognition of corneas and crystalline lens from highly noisy images
This paper proposes an approach to human-eye cornea and crystalline lens edges acceptance in digital images, when captured in environments that returns highly-noisy images, in which edge-detection algorithms do not perform very well. The proposed approach is supported by previously known properties...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2012
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| Texto completo: | http://hdl.handle.net/1822/21328 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/21328 |