计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (24): 157-159.DOI: 10.3778/j.issn.1002-8331.2010.24.047

• 图形、图像、模式识别 • 上一篇    下一篇

数字式射线图像缺陷检测的C-V方法

刘玲慧1,2,曾 理1,2   

  1. 1.重庆大学 数理学院,重庆 400030
    2.重庆大学 光电技术及系统教育部重点实验室ICT研究中心,重庆 400030
  • 收稿日期:2009-05-27 修回日期:2009-07-13 出版日期:2010-08-21 发布日期:2010-08-21
  • 通讯作者: 刘玲慧

C-V method of defects detection in digital radiography image

LIU Ling-hui1,2,ZENG Li1,2   

  1. 1.College of Mathematics and Physics,Chongqing University,Chongqing 400030,China
    2.ICT Research Center,Key Laboratory of Optoelectronic Technology and System of Ministry of Education of China,Chong-
    qing University,Chongqing 400030,China
  • Received:2009-05-27 Revised:2009-07-13 Online:2010-08-21 Published:2010-08-21
  • Contact: LIU Ling-hui

摘要: 数字式射线图像(DR图像)缺陷检测主要是进行缺陷区域的分割和测量,分割精度将直接影响到测量精度。C-V模型是一种新的基于曲线演化理论和水平集方法的图像分割模型,它结合区域信息使得分割结果全局最优,可以很自然地处理轮廓线拓扑结构的变化。针对工件DR图像特点,研究了一种DR图像缺陷检测的C-V方法:首先应用C-V模型进行DR图像缺陷区域的分割,在此基础上,完成缺陷区域几何参数的测量。实验表明,C-V方法能准确地分割出DR图像中的缺陷区域,并获得缺陷形心和面积等参数。

Abstract: The primary work of defect detection of Digital Radiography(DR) image is the segmentation and measurement of defect regions.The precision of defect measurement,to a large extent,depends on the accuracy of segmentation.Based on the curve evolution theory and level set method for segmentation,C-V model has taken regional information into account so that a globally optimal solution can be got,on the other hand,this model also can naturally handle contour topology changes.Aiming at the traits of DR image,this paper researches on a C-V method of defects detection in DR image.In the method,firstly,C-V model is applied to defects segmentation for DR image,on this basis,defects measurement is achieved.The experiment shows that the C-V method can accurately divide defect regions of DR image,and get its geometric parameters.

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