沈阳航空航天大学学报2025，Vol.42Issue(6)：55-62,8.DOI:10.3969/j.issn.2095-1248.2025.06.007
基于相关滤波的FSW焊缝特征跟踪算法
The weld seam feature tracking algorithm based on correlation filtering in FSW
摘要
Abstract
To improve visual tracking precision for friction stir welding under weld seam occlusion and other interference,a weld seam feature tracking algorithm based on the ECO-HC was proposed.A traditional image processing technology was employed to detect the initial weld seam feature point,while enhancing the sensitivity of the algorithm to abnormal disturbances by introducing a dual confidence assessment mechanism comprising similarity calculation and peak to sidelobe ratio on the basis of the ECO-HC algorithm.Additionally,a trajectory prediction method based on curve fitting was proposed to achieve the relocalization of lost target.Experiments were conducted on aluminum alloy weldments of varying thicknesses.The experimental results show that the mean absolute error of the weld seam tracking system proposed can be maintained within 0.051 mm,which fully meets the precision requirement for weld seam tracking and demonstrates the effectiveness of the algorithm proposed.关键词
视觉辅助/搅拌摩擦焊/相关滤波/焊缝特征跟踪/目标丢失重定位Key words
visual tracking/friction stir welding/correlation filtering/weld seam feature tracking/relocalization of lost target分类
矿业与冶金引用本文复制引用
HU Wei,LI Biantong,JI Shude,WANG Yuansheng..基于相关滤波的FSW焊缝特征跟踪算法[J].沈阳航空航天大学学报,2025,42(6):55-62,8.基金项目
国家自然科学基金(项目编号:52174366) （项目编号:52174366）
辽宁省教育厅科学基金(项目编号:JYTMS20230277). （项目编号:JYTMS20230277）
