Automated Identification of Exudates and Optic Disc Based on Inverse Surface Thresholding

Authors:
Haniza Yazid;Hamzah Arof;Hazlita Mohd Isa
Affiliations:
Electrical Engineering Department, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia 50603 and School of Mechatronic Engineering, University Malaysia Perlis, Kangar, Malaysia 01 ...;Electrical Engineering Department, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia 50603;National University Hospital of Malaysia, Kuala Lumpur, Malaysia 56000
Venue:
Journal of Medical Systems
Year:
2012

Citing 3
Cited 1

Digital Image Processing

Digital Image Processing
A Model-Based Approach for Automated Feature Extraction in Fundus Images

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Automatic Tracing of Optic Disc and Exudates from Color Fundus Images Using Fixed and Variable Thresholds

Journal of Medical Systems

Automated detection of exudates and macula for grading of diabetic macular edema

Computer Methods and Programs in Biomedicine

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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 a method based on watershed segmentation.