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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/19129
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| Title: | Automated identification of exudates and optic disc based on inverse surface thresholding |
| Authors: | Haniza, Yazid
Hamzah, Arof, Dr.
Hazlita, Mohd Isa, Dr. |
| E-mail: | haniza.yazid@gmail.com
ahamzah@um.edu.my |
| Keywords: | Diabetic retinopathy
Exudates
Biomedical applications
Inverse surface thresholding |
| Issue Date: | 2012 |
| Publisher: | Springer Science+Business Media, LLC. |
| Citation: | Journal of Medical Systems, vol. 36 (3), 2012, pages 1997-2004 |
| 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. |
| Description: | Link to publlisher's homepage at
http://www.springerlink.com/ |
| URI: | http://www.springerlink.com/content/f12t4365r0320l10/
http://hdl.handle.net/123456789/19129 |
| ISSN: | 0148-5598 |
| Appears in Collections: | School of Mechatronic Engineering (Articles)
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