摘要
针对眼底视网膜图像对比度低,受病变区域边界干扰,很难正确提取血管细节的问题提出了一种基于多尺度Frangi滤波器的视网膜血管分割的方法。首先对图像预处理,其次在Frangi滤波器的基础上进行多尺度操作,完成对图像细节的增强;最后运用遗传算法优化的Otsu进行阈值分割,得到最终的结果图。利用所提方法在DRIVE数据库进行实验,仿真结果表明上述方法对细小血管的提取表现出良好的效果,具备很强的实用价值。
Aiming at the problem that the fundus retinal image has low contrast and is disturbed by the boundary of the diseased area,it is difficult to correctly extract the details of the blood vessel.A method of retinal blood vessel segmentation based on multi-scale Frangi filter is proposed.Firstly,the image is preprocessed,and then multi-scale operations are performed on the basis of the Frangi filter to complete the enhancement of image details;finally,Otsu optimized by genetic algorithm is used for threshold segmentation to get the final result graph.Using the proposed method to conduct experiments on the DRIVE database,the simulation results show that the above method has a good effect on the extraction of small blood vessels and has strong practical value.
作者
袁盼
陈以
YUAN Pan;CHEN Yi(School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China)
出处
《现代信息科技》
2020年第22期116-118,122,共4页
Modern Information Technology
基金
国家自然科学基金(61862016)
广西自然科学基金(2017GXNSFAA198283)。
关键词
图像处理
视网膜血管
遗传算法
阈值分割
image processing
retinal vessel
genetic algorithm
threshold segmentation
