Background Subtraction Segmentation of Weld Defects in X-ray Image Based on Partial Surface Reconstruction
摘 要
背景消除是焊缝X射线自动检测中缺陷分割的常用方法,其核心是焊缝背景图像的获取。由于焊缝的多样性,常用的低通滤波和曲线拟合方法所得到的背景不够准确,造成较多误检率。研究了基于局部曲面重构的背景消除法,先对焊缝列灰度进行分析,获取潜在的缺陷区域,再对该区域进行曲面重构,获得焊缝背景图像。试验表明,该方法可有效减少误检和漏检,并获得良好的焊缝缺陷形貌。
Abstract
Background subtraction is often adopted in automatic weld defects inspection techniques based on real-time X-ray images. The key to this method is estimating of weld background, and it is mainly realized by low-pass filter or curve fitting methods. Generally, there are many false alarms and inaccurate defect shape due to inaccuracy of weld background obtained by these methods. In this paper a new background subtraction based on partial surface reconstruction was proposed. Firstly, the possible defect positions were identified by gray-level wave analysis, and then weld background was estimated by reconstruction in these areas. Results showed that false alarm and missed detection had been decreased effectively, and the defect shape had been more accurate.
中图分类号 TG115.28
所属栏目 2008远东无损检测新技术论坛优秀论文选登
基金项目 国家自然科学基金资助项目(No.50628506)
收稿日期 2008/6/30
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备注侯润石(1978-),男,博士研究生,研究方向为无损检测的信息融合与图像处理技术。
引用该论文: HOU Run-Shi,DU Dong,SHAO Jia-Xin,WANG Li,CHANG Bao-Hua. Background Subtraction Segmentation of Weld Defects in X-ray Image Based on Partial Surface Reconstruction[J]. Nondestructive Testing, 2008, 30(8): 533~535
侯润石,都东,邵家鑫,王力,常保华. 基于局部曲面重构的焊缝X射线图像缺陷分割技术[J]. 无损检测, 2008, 30(8): 533~535
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参考文献
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【3】周正干,赵胜,安振刚.航空发动机叶片实时成像自动监测技术的研究\[J\].机械工程学报,2005,41(4):180-184.
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