| 数字式射线图像缺陷检测的C-V方法 |
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| 引用本文： | 刘玲慧,曾理.数字式射线图像缺陷检测的C-V方法[J].计算机工程与应用,2010,46(24):157-159. |
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| 作者姓名： | 刘玲慧 曾理 |
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| 作者单位： | 重庆大学数理学院,重庆,400030;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 |
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| 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。
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| 关 键 词： | C-V模型 数字式射线图像 图像分割 缺陷测量 |
| 收稿时间： | 2009-5-27 |
| 修稿时间： | 2009-7-13
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C-V method of defects detection in digital radiography image |
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| LIU Ling-hui,ZENG Li.C-V method of defects detection in digital radiography image[J].Computer Engineering and Applications,2010,46(24):157-159. |
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| Authors: | LIU Ling-hui ZENG Li |
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| Affiliation: | 1,2 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,Chongqing University,Chongqing 400030,China |
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| 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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| Keywords: | C-V model Digital Radiography（DR）image image segmentation defects measurement |
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