NDLI: Detection of foveal avascular zone in colour retinal fundus images

Content Provider	IEEE Xplore Digital Library
Author	Nugroho, Hanung Adi Purnamasari, Dewi Soesanti, Indah Oktoeberza, K. Z. Widhia Dharmawan, Dhimas Arief
Copyright Year	2015
Description	Author affiliation: Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada, Jl. Grafika No. 2, Yogyakarta 55281, Indonesia (Nugroho, Hanung Adi; Purnamasari, Dewi; Soesanti, Indah; Oktoeberza, K Z Widhia; Dharmawan, Dhimas Arief)
Abstract	Diabetic retinopathy (DR) is a complication of retinal related common micro vascular disease occurred in diabetic patients. It is the one of the major causes of adult blindness in the worldwide. DR is indicated by the presence of hard exudates, soft exudates, haemorrhages, the growth of new blood vessels and foveal avascular zone (FAZ) enlargement. The objective of this work is to detect FAZ area in the colour retinal fundus images. In retinal fundus images, FAZ is located in the centre of macula, which is usually capillary-free. The detection of FAZ is an important step in the assessment of retinal images for visual related pathology detection. Retinal images are taken from Messidor database consisting of 59 retinal images. The proposed method has four main steps, i.e. pre-processing, blood vessels extraction, FAZ detection, and validation test. In the pre-processing step, morphological operation followed by contrast stretching is used to enhance and improve image quality. In other hand, matched filter and local entropy thresholding are applied to extract retinal blood vessels. FAZ area is detected by connecting retinal vessel endpoints. Finally, validation test is conducted by calculating the correlation between polygon area as detected FAZ by proposed method and circular area as labelled FAZ by ophthalmologists. The result achieves the correlation coefficient of 0.912 indicating that the proposed method has significant correlation with the method of the ophthalmologists.
Starting Page	225
Ending Page	230
File Size	360425
Page Count	6
File Format	PDF
ISBN	9781479983841
e-ISBN	9781479983865
DOI	10.1109/ICSITech.2015.7407808
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-27
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Matched filters Image segmentation Diabetic retinopathy Correlation Retinal blood vessels Foveal avascular zone Blood vessels Retina Entropy Micro vascular Retinal fundus images Biomedical imaging
Content Type	Text
Resource Type	Article

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