A new blood vessel extraction technique using edge enhancement and object classification

Badsha, Shahriar and Reza, Ahmed Wasif and Tan, Kim Geok and Dimy, Kaharudin (2013) A new blood vessel extraction technique using edge enhancement and object classification. Journal of Digital Imaging, 26 (6). pp. 1107-1115. ISSN 0897-1889

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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.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 11 Mar 2014 04:15
Last Modified: 11 Mar 2014 04:15
URI: http://shdl.mmu.edu.my/id/eprint/5383

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