首页 | 本学科首页   官方微博 | 高级检索  
     

一种改进的血管壁超声图像边缘检测方法
引用本文:王昱镔,毛征,汪友生,随晓谛,王亚丽.一种改进的血管壁超声图像边缘检测方法[J].国外电子测量技术,2008,27(9).
作者姓名:王昱镔  毛征  汪友生  随晓谛  王亚丽
作者单位:北京工业大学电子信息与控制工程学院,北京,100124
摘    要:血管壁超声图像边缘检测是IVUS图像处理中必不可少的步骤和重要的环节。传统的IVUS图像边缘检测方法是直接采用Snake动态轮廓模型、GVF Snake动态轮廓模型对IVUS图像进行处理,这些方法不易得到确切的血管壁边缘边缘轮廓。本文采用先对IVUS原图像进行预处理的方法。在预处理中,提出了采用不同高斯滤波方差下的Canny算子边缘检测和Hough变换圆检测方法。之后再采取GVF变换、图像除噪与图像迭加等处理方法。实验结果验证了该IVUS图像处理方法的有效性。

关 键 词:血管壁超声  边缘检测  Canny算子  Hough变换

Improved edge detection for intravascular ultrasound images
Wang Yubin,Mao Zheng,Wang Yousheng,Sui Xiaodi,Wang Yali.Improved edge detection for intravascular ultrasound images[J].Foreign Electronic Measurement Technology,2008,27(9).
Authors:Wang Yubin  Mao Zheng  Wang Yousheng  Sui Xiaodi  Wang Yali
Affiliation:Wang Yubin Mao Zheng Wang Yousheng Sui Xiaodi Wang Yali School of electronic information and control engineering,Beijing University of Technology,Beijing 100124
Abstract:The detection of the media-adventitial borders is a key step in intravascular ultrasound(IVUS)processing.The traditional method for IVUS is based on the Snake model or GVF Snake model.Actually,it is not easy to get the precise media-adventitial border of the IVUS image by only using the one of the above method.In this paper,at first,the IVUS original image is preprocessed with the Canny edge detection of the Gaussian filters in different variances and Circle Hough Transform.Then the preprocessed image is transformed by GVF.Finally,the noise dots on the GVF transfor- ming image are removed and the desirable media-adventitial borders of IVUS image are obtained.The experimental results confirm the validity of the new method.
Keywords:IVUS  edge detection  Canny operator  Hough transformation
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号