| dc.contributor.author | Haniza, Yazid | |
| dc.contributor.author | Hamzah, Arof, Dr. | |
| dc.contributor.author | Hazlita, Mohd Isa, Dr. | |
| dc.date.accessioned | 2012-05-11T13:29:09Z | |
| dc.date.available | 2012-05-11T13:29:09Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Journal of Medical Systems, vol. 36 (3), 2012, pages 1997-2004 | en_US |
| dc.identifier.issn | 0148-5598 | |
| dc.identifier.uri | http://www.springerlink.com/content/f12t4365r0320l10/ | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/19129 | |
| dc.description | Link to publlisher's homepage at
http://www.springerlink.com/ | en_US |
| dc.description.abstract | This paper presents a new approach to detect exudates and optic disc from color fundus images based on inverse surface thresholding. The strategy involves the applications of fuzzy c-means clustering, edge detection, otsu thresholding and inverse surface thresholding. The main advantage of the proposed approach is that it does not depend on manually selected parameters that are normally chosen to suit the tested databases. When applied to two sets of databases the proposed method outperforms a method based on watershed segmentation. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Science+Business Media, LLC. | en_US |
| dc.subject | Diabetic retinopathy | en_US |
| dc.subject | Exudates | en_US |
| dc.subject | Biomedical applications | en_US |
| dc.subject | Inverse surface thresholding | en_US |
| dc.title | Automated identification of exudates and optic disc based on inverse surface thresholding | en_US |
| dc.type | Article | en_US |
| dc.contributor.url | haniza.yazid@gmail.com | en_US |
| dc.contributor.url | ahamzah@um.edu.my | en_US |
