Approximate Nearest Neighbour Field based Optic Disk Detection

Ramakanth, Avinash S and Babu, Venkatesh R (2014) Approximate Nearest Neighbour Field based Optic Disk Detection. In: COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 38 (1). pp. 49-56.

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Abstract

Approximate Nearest Neighbour Field maps are commonly used by computer vision and graphics community to deal with problems like image completion, retargetting, denoising, etc. In this paper, we extend the scope of usage of ANNF maps to medical image analysis, more specifically to optic disk detection in retinal images. In the analysis of retinal images, optic disk detection plays an important role since it simplifies the segmentation of optic disk and other retinal structures. The proposed approach uses FeatureMatch, an ANNF algorithm, to find the correspondence between a chosen optic disk reference image and any given query image. This correspondence provides a distribution of patches in the query image that are closest to patches in the reference image. The likelihood map obtained from the distribution of patches in query image is used for optic disk detection. The proposed approach is evaluated on five publicly available DIARETDB0, DIARETDB1, DRIVE, STARE and MESSIDOR databases, with total of 1540 images. We show, experimentally, that our proposed approach achieves an average detection accuracy of 99% and an average computation time of 0.2 s per image. (C) 2013 Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Publication:	COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
Publisher:	PERGAMON-ELSEVIER SCIENCE LTD
Additional Information:	Copyright for this article belongs to the PERGAMON-ELSEVIER SCIENCE LTD, ENGLAND
Keywords:	Approximate Nearest Neighbour Field; FeatureMatch; Optic disk detection; Fundus or retinal image processing
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	21 Feb 2014 08:47
Last Modified:	21 Feb 2014 08:47
URI:	http://eprints.iisc.ac.in/id/eprint/48425

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