A Novel 5x5 Edge Detection Operator for Blood Vessel Images
Toufic El-Arwadi, Ali El-Zaart
Current Journal of Applied Science and Technology · Published 29 Aug 2015
10.9734/BJAST/2015/19967Abstract
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.
Cited by 2
Ali Ghosn, Ali El-Zaart, Toufic El-Arwadi · 2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS) · 2024
Hiroaki Fujibayashi, Yoshihiro Ozeki, Asei Tezuka · JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES · 2022
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