NDLI: Automatic macula detection from retinal images by a line operator

Content Provider	IEEE Xplore Digital Library
Author	Shijian Lu Joo Hwee Lim
Copyright Year	2010
Description	Author affiliation: Institute for Infocomm Research, A*STAR, Singapore, 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632 (Shijian Lu; Joo Hwee Lim)
Abstract	This paper presents an automatic macula detection technique that makes use of the circular brightness profile of the macula: the macula is usually darker than the surrounding pixels whose intensities increase gradually with their distances from the macula center. A line operator is designed to capture the macula circular brightness profile, which evaluates the image brightness variation along multiple line segments of specific orientations that pass through each retinal image pixel. The orientation of the line segment with the minimum/ maximum variation has specific patterns that indicate the position of the macula efficiently. The proposed technique has been tested over DRIVE project's dataset and the STARE project's dataset. Experiments show that the accuracies reach up to 100% and 95.45%, respectively, based on 35 and 44 retinal images having discernible macula within the two public datasets.
Starting Page	4073
Ending Page	4076
File Size	756075
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5649080
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Retina Image segmentation Brightness Pixel Optical imaging Biomedical optical imaging line operator Retinal image analysis macula detection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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