Exudates segmentation using inverse surface adaptive thresholding

Yazid, Haniza and Arof, Hamzah and Mohd Isa, Hazlita (2012) Exudates segmentation using inverse surface adaptive thresholding. Measurement, 45. pp. 1599-1608. ISSN 0263-2241

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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 methods based on watershed segmentation and morphological reconstruction. The proposed method obtained 98.2 and 90.4 in terms of sensitivity for Standard Diabetic Retinopathy Database – Calibration Level 1 (DIARETDB1) and a local dataset provided by National University Hospital of Malaysia(NUHM), respectively.

Item Type: Article
Additional Information: Electrical Engineering Department, Faculty of Engineering, University of Malaya
Uncontrolled Keywords: Thresholding; Image Segmentation; Medical Images; Diabetic Retinopathy; Biomedical Applications; Inverse Surface Thresholding
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Ms. Jamilah Salleh
Date Deposited: 21 Oct 2014 04:55
Last Modified: 11 Oct 2018 04:06
URI: http://eprints.um.edu.my/id/eprint/10291

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