title: Automated identification of exudates and optic disc based on inverse surface thresholding.
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.
authors.affiliation: Electrical Engineering Department, University of Malaya, Kuala Lumpur, Malaysia. haniza.yazid@gmail.com
authors.forename: Haniza
authors.initials: H
authors.lastname: Yazid
authors.forename: Hamzah
authors.initials: H
authors.lastname: Arof
authors.forename: Hazlita Mohd
authors.initials: HM
authors.lastname: Isa
mesh_terms: D003930:Diabetic Retinopathy / Q000000981:diagnostic imaging; D005122:Exudates and Transudates / Q000000981:diagnostic imaging*; D017143:Fuzzy Logic; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009898:Optic Disk / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D010363:Pattern Recognition, Automated; D011859:Radiography