文章基本信息

标题：A Novel 5x5 Edge Detection Operator for BloodVessel Images
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作者：Toufic El-Arwadi ; Ali El-Zaart
期刊名称：Current Journal of Applied Science and Technology
印刷版ISSN：2457-1024
出版年度：2015
卷号：11
期号：3
页码：1-10
语种：English
出版社：Sciencedomain International
摘要：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.
关键词：Blood vessel detection;edge detection;5xr5 mask operator;Taylor’s expansion