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出 处:《焊接学报》2013年第8期5-8,113,共4页Transactions of The China Welding Institution
基 金:国家自然科学基金资助项目(51175095);广东省自然科学基金资助项目(10251009001000001;9151009001000020);高等学校博士学科点专项科研基金资助项目(20104420110001)
摘 要:以碳钢Q235氩弧焊为试验对象,研究一种基于熔池镜面反射物理特性的电弧焊熔宽提取方法,应用空域滤波与频域滤波融合去噪技术对受高频噪声污染的焊接图像进行处理.对比频域滤波处理前后熔宽提取的准确率,发现利用频域低通滤波结合增强型高通滤波补偿算法对熔池图像去噪效果较好.电弧焊接试验结果表明所提出的熔宽识别算法能够较准确地提取熔宽值.In this paper,a method to detect the welding pool width based on the specular reflection physical characteristics of a welding pool during TIG welding of Q235 steel was investigated.The combination of spatial filtering and frequency domain filtering was applied to eliminate the disturbance in a welding pool image which was polluted by the high frequency noises.In comparison with spatial filtering,using the low pass of frequency domain filtering and the compensation of high frequency enhancement filtering could better eliminate the welding pool image noises.The arc welding experimental results show that the welding pool width could be extracted accurately by the proposed identification algorithm.
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