Image Processing of Welding Seam Based on Single-stripe Laser Vision System

Author

Liu, Xiwen ; Wang, Guorong ; Shi, Yonghua

Author_Institution

Dept. of Mech. Eng., South China Univ. of Technol., Guangzhou

Volume

2

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

463

Lastpage

470

Abstract

The processing ways of welding seam image based on single-stripe laser are discussed. The wavelet transform is applied to get the horizontal detail part of the image. Taking this part for subsequent seam recognition, its remaining noises are eliminated by median filtering in vertical direction. KSW entropy algorithm is used for image segmentation. Good effects can be got by using these ways, and the cost time is short enough to meet the requirement of real-time tracking or control

Keywords

filtering theory; image recognition; image segmentation; wavelet transforms; welding; KSW entropy; image processing; image segmentation; median filtering; real-time control; real-time tracking; seam recognition; single-stripe laser vision system; wavelet transform; welding seam; Cameras; Image edge detection; Image processing; Laser noise; Laser theory; Lenses; Light sources; Machine vision; Wavelet transforms; Welding; Image processing; laser; wavelet transform.; welding seam;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.253881

Filename

4021708