A Study on Image Processing Algorithms for Seam Tracking System in GMA Welding

Min Ho Park; Qian Qian Wu; Cheol Kyun Park; Jong Pyo Lee; Ill Soo Kim

doi:10.4028/www.scientific.net/AMR.1088.819

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1088A Study on Image Processing Algorithms for Seam...

A Study on Image Processing Algorithms for Seam Tracking System in GMA Welding

Abstract:

With the development of economy, the seam tracking technology for arc welding becomes one of the major research tasks in the manufacturing area with robots. In this study, the objectives aim to develop an intelligent and cost-effective algorithm based on the laser vision sensor for image processing in Gas Metal Arc (GMA) welding. Images of welded seam were captured from the CCD camera. These images were then processed by the algorithms in the proposed image processing. To optimize the effective image process, popular algorithms in use were verified, compared and finally selected for every step in the image processing. Moreover, owing to the simple interactive environment and abundant toolboxes, MATLAB was employed to realize those algorithms, which offer a sample for engineers to achieve the goal of algorithm developed by this new but easier approach. Finally, weld seam images obtained with different welding environments were processed to enhance the proposal validity, and it’s proved to have significant effect of getting rid of the variable noises to extract the feature points and centerline for seam tracking in GMA welding and is capable for industrial application.

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Periodical:

Advanced Materials Research (Volume 1088)

Pages:

819-823

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1088.819

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Online since:

February 2015

Authors:

Min Ho Park, Qian Qian Wu*, Cheol Kyun Park, Jong Pyo Lee, Ill Soo Kim

Keywords:

GMA Welding Process, Image Process, Laser Vision Sensor, Seam Tracking

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