| 一种焊缝结构光图像处理与特征提取方法 |
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| 引用本文： | 李原,徐德,沈扬,谭民.一种焊缝结构光图像处理与特征提取方法[J].焊接学报,2006,27(9):25-30. |
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| 作者姓名： | 李原 徐德 沈扬 谭民 |
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| 作者单位： | 1. 中国科学院,自动化研究所,北京,100080;中国科学院,研究生院,北京,100049
2. 中国科学院,自动化研究所,北京,100080 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 提出了一种焊缝结构光图像处理与特征提取方法,有效克服了焊缝结构光图像中的反光等干扰,准确提取图像中焊缝位置特征.对于激光条纹中心线的提取,采用基于图像列方向像素灰度分布的曲线峰值提取方法,并利用激光条纹位置在时间和图像空间上的连续性和相关性,进行判断提取.对于焊缝图像特征的提取,根据沟槽类焊缝图像形状特点,选择焊缝沟槽图形中心作为图像特征.焊缝图像处理与焊缝跟踪试验结果证明了该方法的有效性和可靠性.
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| 关 键 词： | 图像处理 特征提取 焊缝跟踪 结构光视觉 |
| 文章编号： | 0253-360X（2006）09-025-06 |
| 收稿时间： | 07 26 2005 12:00AM |
| 修稿时间： | 2005-07-26 |
A image processing and features extraction method for structured light image of welding seam |
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| LI Yuan,XU De,SHEN Yang and TAN Min.A image processing and features extraction method for structured light image of welding seam[J].Transactions of The China Welding Institution,2006,27(9):25-30. |
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| Authors: | LI Yuan XU De SHEN Yang and TAN Min |
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| Affiliation: | Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China;Graduate University of Chinese Academy of Sciences, Beijing 100049, China,Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China,Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China;Graduate University of Chinese Academy of Sciences, Beijing 100049, China and Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China |
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| Abstract: | A method of image processing and features extraction was presented for structured light images of welding seams,by which the seam features images are detected with the disturbances such as reflection.The profiles of grooves were obtained by detecting the peaks of intensity curve of column pixels,and a criterion of temporal and spatial continuity of laser stripe was adopted to judge validness of points.According to the profiles of welding groove,the center of gravity of the groove was selected and extracted as feature point.Experimental results of welding seam tracking testified the effectiveness and reliability of the method. |
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| Keywords: | image processing features extraction welding seam tracking structure light vision |
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