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Journal of Imaging Informatics in Medicine

Erschienen in:

01.12.2013

A New Blood Vessel Extraction Technique Using Edge Enhancement and Object Classification

verfasst von: Shahriar Badsha, Ahmed Wasif Reza, Kim Geok Tan, Kaharudin Dimyati

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 6/2013

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Abstract

Diabetic retinopathy (DR) is increasing progressively pushing the demand of automatic extraction and classification of severity of diseases. Blood vessel extraction from the fundus image is a vital and challenging task. Therefore, this paper presents a new, computationally simple, and automatic method to extract the retinal blood vessel. The proposed method comprises several basic image processing techniques, namely edge enhancement by standard template, noise removal, thresholding, morphological operation, and object classification. The proposed method has been tested on a set of retinal images. The retinal images were collected from the DRIVE database and we have employed robust performance analysis to evaluate the accuracy. The results obtained from this study reveal that the proposed method offers an average accuracy of about 97 %, sensitivity of 99 %, specificity of 86 %, and predictive value of 98 %, which is superior to various well-known techniques.

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Titel: A New Blood Vessel Extraction Technique Using Edge Enhancement and Object Classification
verfasst von: Shahriar Badsha
Ahmed Wasif Reza
Kim Geok Tan
Kaharudin Dimyati
Publikationsdatum: 01.12.2013
Verlag: Springer US
Erschienen in: Journal of Imaging Informatics in Medicine / Ausgabe 6/2013
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-013-9585-8

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