CASIA OpenIR
A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review
Yang, Lei1,2; Li, En1; Long, Teng1,2; Fan, Junfeng1,2; Liang, Zize1
Source PublicationIEEE SENSORS JOURNAL
ISSN1530-437X
2018-11-01
Volume18Issue:21Pages:8631-8641
Corresponding AuthorLi, En(en.li@ia.ac.cn)
AbstractIn the modern manufacturing, the teaching-playback mode and the off-line programming mode of the welding robots still play the important roles. However, these modes cannot meet the autonomous and adaptive capabilities of the welding robots. To improve the flexibility of the welding robots, fast and accurate seam extraction is the key link to realize the intelligent welding robots. A fast and accurate seam extraction algorithm based on the novel structured light vision system is proposed in this paper. First, the digital light processing projector is used to construct the multi-function structured light vision sensor in this paper. It could generate different pattern images to adapt different welding tasks. Second, during the current research work about seam extraction, the seam extraction algorithm based on morphological image processing has been widely used and improved. However, these algorithms include much machine vision algorithms and the speed of these algorithms is too slow to meet real-time requirements. Meanwhile, these algorithms are difficult to adapt to different types of weld seam. In order to achieve fast and accurate extraction of various types of weld seams, the target tracking algorithm based on the kernelized correlation filters algorithm is applied into this paper. Experimental results show that the proposed method could well realize fast and accurate seam extraction of various types of weld seams.
KeywordSeam extraction structured light vision target tracking KCF
DOI10.1109/JSEN.2018.2867581
WOS KeywordTRACKING SYSTEM ; LASER VISION ; IMAGE ; RECOGNITION ; PENETRATION ; ALGORITHM ; PROFILES ; DEPTH
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFD0701401]
Funding OrganizationNational Key Research and Development Program of China
WOS Research AreaEngineering ; Instruments & Instrumentation ; Physics
WOS SubjectEngineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied
WOS IDWOS:000447046600001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/28099
Collection中国科学院自动化研究所
Corresponding AuthorLi, En
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Yang, Lei,Li, En,Long, Teng,et al. A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review[J]. IEEE SENSORS JOURNAL,2018,18(21):8631-8641.
APA Yang, Lei,Li, En,Long, Teng,Fan, Junfeng,&Liang, Zize.(2018).A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review.IEEE SENSORS JOURNAL,18(21),8631-8641.
MLA Yang, Lei,et al."A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review".IEEE SENSORS JOURNAL 18.21(2018):8631-8641.
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