Skip to main content
padlock icon - secure page this page is secure

Efficient weld seam detection for robotic welding based on local image processing

Buy Article:

$40.56 + tax (Refund Policy)

Purpose ‐ The weld seam detection is required for a welding robot to preplan the weld seam track before the actual welding. The purpose of this paper is to investigate this subject in natural lighting conditions. Design/methodology/approach ‐ This paper presents an efficient algorithm of weld seam detection for butt joint welding from a single image. The basic idea of the approach is to find a pair of weld seam edges in local area first. Then, starting from the two endpoints of each edge, search for the remnant edge by iterative edge detection and edge linking. Findings ‐ The proposed method is insensitive to the variance of the background image and can apply to most shapes of weld seams in butt joint welding. Research limitations/implications ‐ The proposed method is designed only for butt joint welding, and it is performed before actual welding. Practical implications ‐ The system is applicable to preplan the weld trajectory for most shapes of weld seams in butt joint welding. In addition, the proposed technique may have some potential applications in the field of tailor-welded blanks. Originality/value ‐ The proposed algorithm is based on local image processing and detects the whole weld seam from a single image without giving any initial seam, which is insensitive to the variance of the background image and has low-computation cost.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Computer aided manufacturing; Image processing; Robotics; Seam welding; Welding

Document Type: Research Article

Publication date: May 1, 2009

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more