Publication Type:

Conference Paper

Source:

Proceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008, Sydney, NSW, p.526-531 (2008)

ISBN:

9781424423583

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-51849128318&partnerID=40&md5=5fc2a97f98b87a93f4d1eb5726d264a2

Keywords:

Algorithms, Automatic Detection, Blood, Blood vessel extraction, Blood vessels, Clustering algorithms, Detection algorithms, Digital fundus images, Experimental evaluations, Extractive metallurgy, FCM clustering algorithm, Flow of solids, Fuzzy clustering, Fuzzy systems, Image Enhancement, Imaging techniques, Information technology, International conferences, Matched filtering, Medical imaging, Ocular fundus images, Optic disks, Spatial neighborhoods, Standards, Technology, Thresholding, Vessel detection, Weighted fuzzy c-means

Abstract:

This paper proposes two efficient approaches for automatic detection and extraction of Exudates and Blood vessels in ocular fundus images. The blood vessel extraction algorithm is composed of three steps, i.e., matched filtering, thresholding and label filtering. The identification of exudates involves Preprocessing, Optic disk elimination, and Segmentation of Exudates. In both the methods the enhanced segments are extracted based on Spatially Weighted Fuzzy c-Means (SWFCM) clustering algorithm. The Spatially Weighted Fuzzy c-Means clustering algorithm is formulated by incorporating the spatial neighborhood information into the standard FCM clustering algorithm. Experimental evaluations of both the approaches demonstrate superior performances over other vessel detection and exudates detection algorithms recently reported in the literature. © 2008 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@11aef353 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@74e8d736 Through org.apache.xalan.xsltc.dom.DOMAdapter@62895630; Conference Code:73588

Cite this Research Publication

G. Ba Kande, Savithri, T. Sb, and Subbaiah, P. Vc, “Extraction of exudates and blood vessels in digital fundus images”, in Proceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008, Sydney, NSW, 2008, pp. 526-531.