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Journal of Medical Imaging

Blood vessel extraction of diabetic retinopathy using optimized enhanced images and matched filter
Author(s): Asit Subudhi; Subhra Pattnaik; Sukanta Sabut
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Paper Abstract

Accurate extraction of structural changes in the blood vessels of the retina is an essential task in diagnosis of retinopathy. Matched filter (MF) technique is the effective way to extract blood vessels, but the effectiveness is reduced due to noisy images. The concept of MF and MF with first-order derivative of Gaussian (MF-FDOG) has been implemented for retina images of the DRIVE database. The optimized particle swarm optimization (PSO) algorithm is used for enhancing the images by edgels to improve the performance of filters. The vessels were detected by the response of thresholding to the MF, whereas the threshold is adjusted in response to the FDOG. The PSO-based enhanced MF response significantly improved the performances of filters to extract fine blood vessels structures. Experimental results show that the proposed method based on enhanced images improved the accuracy to 91.1%, which is higher than that of MF and MF-FDOG, respectively. The peak signal-to-noise ratio was also found to be higher with low mean square error values in enhanced MF response. The accuracy, sensitivity, and specificity values are significantly improved among MF, MF-FDOG, and PSO-enhanced images (P<0.05).

Paper Details

Date Published: 30 November 2016
PDF: 7 pages
J. Med. Img. 3(4) 044003 doi: 10.1117/1.JMI.3.4.044003
Published in: Journal of Medical Imaging Volume 3, Issue 4
Show Author Affiliations
Asit Subudhi, Institute of Technical Education & Research, SOA Univ. (India)
Subhra Pattnaik, Institute of Technical Education & Research, SOA Univ. (India)
Sukanta Sabut, Institute of Technical Education & Research, SOA Univ. (India)


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