《计算机应用研究》|Application Research of Computers

基于PST和多尺度高斯滤波的视网膜血管的分割

Retinal vessel segmentation based on PST and multi-scale Gaussian filter

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作者 蔡震震,唐鹏,胡建斌,金炜东
机构 1.西南交通大学 电气工程学院,成都 610031;2.成都东区爱尔眼科医院,成都 610051
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文章编号 1001-3695(2019)06-061-1893-04
DOI 10.19734/j.issn.1001-3695.2018.01.0059
摘要 为辅助眼科医生进行眼底疾病的诊断,提出了一种基于相位拉伸变换(PST)和多尺度高斯滤波的视网膜血管分割方法。首先将彩色眼底影像的绿色通道分量图进行增强预处理;然后采用不同尺度的高斯滤波器对预处理增强后的视网膜血管进行降噪处理,再结合PST边缘检测算法初步获得视网膜血管分割图;最后整合初步获得的视网膜血管分割图并进行形态学去噪,获得最终的视网膜血管分割图。通过在视网膜图像库DRIVE上进行实验,其平均准确率为93%,平均灵敏度达77%,平均特异性为95%,实验结果验证了该方法的有效性。
关键词 视网膜血管; 相位拉伸变换; 多尺度; 血管分割
基金项目 中央高校基本科研业务费创新项目(2682014CX027)
国家重点研发计划资助项目(2016YFB1200401-102F)
本文URL http://www.arocmag.com/article/01-2019-06-061.html
英文标题 Retinal vessel segmentation based on PST and multi-scale Gaussian filter
作者英文名 Cai Zhenzhen, Tang Peng, Hu Jianbin, Jin Weidong
机构英文名 1.School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China;2.Aier Eye Hospital,Chengdu 610051,China
英文摘要 In order to assist ophthalmologists in the diagnosis of fundus diseases, this paper presented a retinal vessel segmentation method based on PST and multi-scale Gaussian filter. Firstly, it enhanced the green channel of color fundus image. Then, it used Gaussian filters with different scales to reduce the noise of retinal vessels with different diameters after preconditioning, and combined with the Gaussian filters, it used the edge detection algorithm of the PST to obtain preliminary retinal vascular segmentation map. Finally, it integrated the initial retinal vessel segmentation maps and denoised the result based on morphology to obtain the final retinal vessel segmentation map. The experiments on DRIVE retinal image database show that the average accuracy is 93%, the average sensitivity is 77%, and the average specificity is 95%. The experimental results verify the effectiveness of the proposed method.
英文关键词 retinal vessel; PST(phase stretch transform); multi-scale; segmentation of blood vessels
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收稿日期 2018/1/15
修回日期 2018/3/7
页码 1893-1896
中图分类号 TPP181
文献标志码 A