Research on Image Processing in Weld Seam Tracking with Laser Structured Light

DOI

10.2991/ifeesm-17.2018.151How to use a DOI?

Keywords

weld seam tracking; laser structured light; Radon transform; improved FCM.

Abstract

According to the image characteristics in weld seam tracking with laser vision, Radon transform is first used to find the location of the laser stripe; then, the transformed image is processed by using the way that the pixel information caused by laser stripe is reserved and the other information by noises is removed, and then inverse Radon transform is applied for image recovery. Finally, improved fast FCM clustering is used for image segmentation so that the groove area can be recognized. These methods can bring good effects with little time cost, and the anti-disturbance performance is well, therefore they are suitable for weld seam tracking with laser vision.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiwen Liu
AU  - Chaoying Liu
PY  - 2018/02
DA  - 2018/02
TI  - Research on Image Processing in Weld Seam Tracking with Laser Structured Light
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 803
EP  - 807
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.151
DO  - 10.2991/ifeesm-17.2018.151
ID  - Liu2018/02
ER  -