A Novel 5x5 Edge Detection Operator for Blood Vessel Images

El-Arwadi, Toufic and El-Zaart, Ali (2015) A Novel 5x5 Edge Detection Operator for Blood Vessel Images. British Journal of Applied Science & Technology, 11 (3). pp. 1-10. ISSN 22310843

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Official URL: https://doi.org/10.9734/BJAST/2015/19967

Abstract

Background: Blood vessel appearance is an important indicator for many diagnoses, including diabetes, hypertension, and arteriosclerosis.

Aims: Blood Vessel edge detection in retinal images is very important in medical image processing. A lot of algorithms have been suggested for extracting medical image edges.

Methodology: In this paper a new 5x5 edge detection masks are proposed based on the finite difference method.

Results: The proposed method is applied on a set of blood vessel images and we obtained good results in comparison with 5x5 Sobel mask.

Item Type:	Article
Subjects:	Afro Asian Archive > Multidisciplinary
Depositing User:	Unnamed user with email support@afroasianarchive.com
Date Deposited:	09 Jun 2023 06:28
Last Modified:	16 Sep 2024 10:28
URI:	http://info.stmdigitallibrary.com/id/eprint/982

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