Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints

Year : 2021 | Volume : | Issue : 1 | Page : 14-21
By

    Sunil Kumar

  1. Adarsh Kumar

  1. Research Scholar, Department of Mechanical Engineering, Bansal Institute of Engineering and Technology, , India
  2. Assistant Professor, Department of Mechanical Engineering, Bansal Institute Of Engineering and Technology, , India

Abstract

Quality monitoring of welded joints is still quite a tedious job for many industries. The surface defects on welded joints arises from the improper selection of various input parameters which further result bad quality weld. This paper highlight the application of a computer vision algorithm called discrete Fourier transformation approach for identification of surface defects present on TIG welded joints.

Keywords: Machine vision, surface defects, TIG welding, Fourier transformation

[This article belongs to Research & Reviews : Journal of Computational Biology(rrjocb)]

How to cite this article: Sunil Kumar, Adarsh Kumar Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints rrjocb 2021; 10:14-21
How to cite this URL: Sunil Kumar, Adarsh Kumar Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints rrjocb 2021 {cited 2021 Apr 29};10:14-21. Available from: https://journals.stmjournals.com/rrjocb/article=2021/view=90073/

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Regular Issue Open Access Article
Volume 10
Issue 1
Received March 9, 2021
Accepted April 20, 2021
Published April 29, 2021
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