DocumentCode
2791595
Title
Image processing algorithm of weld seam based on crawling robot By Binocular Vision
Author
Qin, Jia ; Ma, Guohong ; Liu, Pei
Author_Institution
Mechatron. Coll., NanChang Univ., Nanchang, China
fYear
2011
fDate
15-17 July 2011
Firstpage
337
Lastpage
340
Abstract
By Binocular Vision way, this paper aimed to research welding image process of weld seam based on crawling robot. It built a developed suitable tracking control policy and software flatform. Some filters have been studied, such as mean filter, median filter, homomorphic filter. A cascade algorithm composed by medium value filter and homomorphic filter was used to welding image de-noising, which had been proved effective. Besides, an adaptive threshold arithmetic for segmented image was put forward, which had a good robustness, namely cascade OTSU(Maximum Classes Square Error). Al-alloy butter plate welding experiment proved that welding torch could track seam well.
Keywords
image denoising; median filters; mobile robots; robot vision; tracking; welding; binocular vision; butter plate welding; cascade OTSU; cascade algorithm; crawling robot; homomorphic filter; image de-noising; image processing; maximum classes square error; medium value filter; software flatform; threshold arithmetic; tracking control; weld seam; Filtering algorithms; Image edge detection; Image segmentation; Maximum likelihood detection; Nonlinear filters; Robots; Welding; filter; image processing; threshold; welding seam tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5986927
Filename
5986927
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