一种焊缝X射线数字图像的缺陷提取算法
A Method for Extraction of Defects in X-Ray Images
摘 要
准确提取焊缝X射线图像中的缺陷是图像自动识别的主要问题。针对这一难题, 提出了一种以邻域灰度平方差变换为基础, 结合灰度级形态学重构和边缘检测, 辅之边缘保持滤波和已标注连接分量图像融合的缺陷提取新算法。该方法能可靠地提取出低对比度X射线数字图像中的焊缝缺陷部分。
信号处理
邻域灰度平方差
边缘检测
灰度级形态学重构
焊缝缺陷
Radiographic testing
Signal processing
The square value of neighborhood subtraction
Edge detection
Morphological reconstruction
Weld defect
Abstract
Currently, the detection of welding defects is difficult and inaccurate in the X-ray images with low contrast, so the automatic computer-aided defect identification cannot be used in practice effectively. Aiming at this problem, a methodology for the weld defect detection was proposed, which was based on calculating the square value of neighborhood subtraction, is presented. The sequent process contains morphological reconstruction, edge detection and local enhancement, and image fusion technique. Experiment results showed that the method was valid for the weld defect detection of the X-ray images with low contrast.
中图分类号 TG115.28
所属栏目 科研成果与学术交流
基金项目
收稿日期 2008/5/12
修改稿日期
网络出版日期
作者单位点击查看
备注任治(1984-), 男, 硕士, 主要从事超声波探伤、X射线探伤和漏磁探伤等无损检测技术研究。
引用该论文: REN Zhi,SU Zhen-Wei,YU Dong-Bao,YAN Kai-Hua. A Method for Extraction of Defects in X-Ray Images[J]. Nondestructive Testing, 2009, 31(2): 89～91
任治,苏真伟,俞东宝,晏开华. 一种焊缝X射线数字图像的缺陷提取算法[J]. 无损检测, 2009, 31(2): 89～91
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参考文献
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【2】周正干,滕升华,江 巍,等.焊缝X射线检测及其结果的评判方法综述[J].焊接学报,2002,23(3):85-88.
【3】康宏伟,苏真伟,马 杰.焊接缺陷X射线数字图像处理算法研究[J].无损探伤,2006,30(5):23-26.
【4】彼得鲁 M,博斯多詹尼 P,赖剑煌,等.数字图像处理: 疑难解析[M].北京:机械工业出版社,2005.
【5】冈萨雷斯.数字图像处理[M].北京:电子工业出版社,2003.
【6】Xiao-li Li, Tso S K, Xin-Ping Guan, et al. Improving automatic detection of defects in casting by applying wavelet technique[J]. IEEE Transactionson Industrial Electronics,2006,53(6):1927-1934.
【7】Tian Yuan, Du Dong, Cai Guorui, et al. Automatic defect detection in X-ray images using image data fusion[J]. Tsinghua Science and Technology,2006,11(6):720.
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