Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints

Authors

  • Sunil Kumar Research Scholar Department of Mechanical Engineering, Bansal Institute of Engineering and Technology, Lucknow India
  • Adarsh Kumar Assistant Professor, Department of Mechanical Engineering, Bansal Institute Of Engineering and Technology, Lucknow India

Keywords:

Machine Vision, Surface Defects, TIG Welding, Fourier Transformation

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.

References

Jain, R., Kasturi, R. and Schunck, B.G., 1995. Machine vision (Vol. 5, pp. 309-364). New York: McGraw-hill.

Davies, E.R., 2004. Machine vision: theory, algorithms, practicalities. Elsevier.

Chen, Y.R., Chao, K. and Kim, M.S., 2002. Machine vision technology for agricultural applications. Computers and electronics in Agriculture, 36(2-3), pp.173-191.

Oren, M. and Nayar, S.K., 1995. Generalization of the Lambertian model and implications for machine vision.International Journal of Computer Vision, 14(3), pp.227-251.

Pérez, L., Rodríguez, Í., Rodríguez, N., Usamentiaga, R. and García, D.F., 2016. Robot guidance using machine vision techniques in industrial environments: A comparative review. Sensors, 16(3), p.335.

Vernon, D., 1991. Machine vision-Automated visual inspection and robot vision. NASA STI/Recon Technical Report A, 92, p.40499

Downloads

Published

2021-05-24

Issue

Vol. 10 No. 1 (2021)

Section

Research Article

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.