| 焊缝X射线探伤图像自动搭接检测方法 |
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| 引用本文： | 张帆,张伯言,史潇婉,张新红. 焊缝X射线探伤图像自动搭接检测方法[J]. 中国机械工程, 2020, 31(16): 1912-1916+1930. DOI: 10.3969/j.issn.1004-132X.2020.16.003 |
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| 作者姓名： | 张帆 张伯言 史潇婉 张新红 |
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| 作者单位： | 1.河南大学图像处理与模式识别研究所，开封，4750042.河南省大数据分析与处理重点实验室，开封，4750043.山东大学（威海）机电与信息工程学院，威海，2642094.河南大学软件学院，开封，475004 |
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| 基金项目： | 国家科技支撑计划资助项目(2015BAK01B06)；国家自然科学基金资助项目(61771006, U1504621)；河南省自然科学基金资助项目(162300410032) |
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| 摘 要： | 针对焊缝探伤图像造假的现象在工程中比较普遍,而目前主要通过人工读片方式进行检查,检查效率低下、容易漏检。提出了一种基于图像处理的方法对焊缝的搭接区域进行自动定位、分割和比对,建立了焊缝探伤图像搭接自动检测系统,检测是否存在焊缝图像造假的现象。基于拉东变换找到搭接定位标记,从焊缝图像中切割出搭接区图像,采用尺度不变特征变换算法进行搭接匹配,计算两个搭接区图像的结构相似度。最后根据SIFT关键点的匹配点数和结构相似度判断两个搭接区图像是否匹配。实验结果表明,该方法的焊缝图像搭接自动检测准确率达到87.3%。
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| 关 键 词： | 焊缝 无损探伤 搭接检测 尺度不变特征变换算法 结构相似度 |
Automatic Overlap Detection Method for Weld Seam Images of X-ray Inspection |
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| ZHANG Fan,ZHANG Boyan,SHI Xiaowan,ZHANG Xinhong. Automatic Overlap Detection Method for Weld Seam Images of X-ray Inspection[J]. China Mechanical Engineering, 2020, 31(16): 1912-1916+1930. DOI: 10.3969/j.issn.1004-132X.2020.16.003 |
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| Authors: | ZHANG Fan ZHANG Boyan SHI Xiaowan ZHANG Xinhong |
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| Affiliation: | 1.Institute of Image Processing and Pattern Recognition,Henan University,Kaifeng，Henan，4750042.Henan Key Laboratory of Big Data Analysis and Processing,Henan University,Kaifeng，Henan，4750043.School of Mechanical,Electrical and Information Engineering,Shandong University at Weihai,Weihai,Shandong,2642094.School of Software,Henan University,Kaifeng，Henan，475004 |
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| Abstract: | In view of the phenomenon of false weld inspection images was very common in engineering, at present, it was mainly checked by manual reading, which was low efficiency and easy to miss the inspections, based on image processing a method was proposed to automatically locate, segment and compare the overlapping areas of the weld seams. An automatic detection system of weld seam flaw detection image overlap was established to detect whether the weld images were false. Based on the Radon transform, the overlap position marks were found, the overlap areas were cut from the weld images, and the overlap matching were performed using the SIFT algorithm to calculate the structural similarity of the two lap areas. Finally, according to the number of matching points of SIFT key points and structural similarity, they were judged whether the two overlap areas were matched. The experimental results show that the detection accuracy of automatic overlap detection method achieves 87.3%. |
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| Keywords: | weld seam nondestructive inspection overlap detection scale invariant feature transform（SIFT） algorithm structural similarity |
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