首页 | 官方网站   微博 | 高级检索  
     

混凝土超声波层析成像的图像后处理方法
引用本文:黄靓,黄政宇,汪优.混凝土超声波层析成像的图像后处理方法[J].计算机工程与应用,2008,44(26):188-190.
作者姓名:黄靓  黄政宇  汪优
作者单位:1.湖南大学 土木工程学院,长沙 410082 2.中南大学 土木建筑学院,长沙 410075
摘    要:由于反演问题固有的不适定性以及测试和计算误差等原因,混凝土超声波层析图像中存在噪音和伪像。为了增强混凝土层析成像图像结果的信噪比,可靠辨识混凝土的内部缺陷,采用二维中值滤波和基于SOFM神经网络的聚类分析对反演结果进行图像后处理。应用实例表明,联合运用中值滤波和聚类分析的图像后处理方法,可以在局部连通和非局部非连通的区域内抑制噪音,明显改善反演图像的分辨率,有效提高缺陷识别的正确性和可靠性。

关 键 词:层析成像  图像处理  中值滤波  聚类分析  SOFM神经网络
收稿时间:2008-4-1
修稿时间:2008-5-5  

Image post-processing method for ultrasonic tomography of concrete
HUANG Liang,HUANG Zheng-yu,WANG You.Image post-processing method for ultrasonic tomography of concrete[J].Computer Engineering and Applications,2008,44(26):188-190.
Authors:HUANG Liang  HUANG Zheng-yu  WANG You
Affiliation:1.College of Civil Engineering,Hunan University,Changsha 410082,China 2.School of Civil Engineering and Architecture,Central South University,Changsha 410075,China
Abstract:There are noises and pseudo-pixels in the ultrasonic tomography of concrete due to the ill-posed nature of inversion problems and the errors introduced from the testing and computation.To reliably identify the defects from the ultrasonic tomography of concrete by enhancing the SNR of inversion images,there are two methods,two-dimensional median filtering and cluster analysis based on SOFM neural network,are used in the post-processing of inversion images.The example of application shows that the combined usage of median filtering and cluster analysis may suppress the noises in the local and connectivity areas and non-local non-connectivity areas.Meanwhile,it is also shown that the solution of the inversion image is greatly improved and the defects are detected more correctly and reliably.
Keywords:computerized tomography  image processing  median filtering  cluster analysis  SOFM neural network
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
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-23

京公网安备 11010802026262号