The weld seam feature tracking algorithm based on correlation filtering in FSW

Wei HU; Biantong LI; Shude JI; Yuansheng WANG

doi:10.3969/j.issn.2095-1248.2025.06.007

Journal of Shenyang Aerospace University >

2025 , Vol. 42 >Issue 6: 55 - 62

DOI: https://doi.org/10.3969/j.issn.2095-1248.2025.06.007

Information Science and Engineering

The weld seam feature tracking algorithm based on correlation filtering in FSW

Wei HU ^,^a ,
Biantong LI ^a ,
Shude JI ^b ,
Yuansheng WANG ^a

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^a. College of Automation, Shenyang Aerospace University，Shenyang 110136，China
^b. College of Aerospace Engineering, Shenyang Aerospace University，Shenyang 110136，China

Received date: 2024-12-30

Revised date: 2025-01-08

Accepted date: 2025-01-10

Online published: 2025-12-25

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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.

Key words： visual tracking; friction stir welding; correlation filtering; weld seam feature tracking; relocalization of lost target

Cite this article

Wei HU , Biantong LI , Shude JI , Yuansheng WANG . The weld seam feature tracking algorithm based on correlation filtering in FSW[J]. Journal of Shenyang Aerospace University, 2025 , 42(6) : 55 -62 . DOI: 10.3969/j.issn.2095-1248.2025.06.007

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