DocumentCode
3133779
Title
Robust features extraction for lap welding seam tracking system
Author
Gu, Chunlan ; Li, Yuan ; Wang, Qinglin ; Xu, De
Author_Institution
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear
2009
fDate
20-21 Sept. 2009
Firstpage
319
Lastpage
322
Abstract
A robust method is presented for features extraction based on structured light images of lap weld joint. On the basis of image processing such as smoothing, adaptive thresholding and thinning, two steps are taken to extract the features of the images. First, the position of the features is located roughly by dividing the centerline into segments and the intercept and slope of each segment obtained using least-squares approximation; afterwards, the range of feature points can be detected by comparing intercepts between segments. Then image features are extracted precisely via the intersections of three straight lines fitted by least square. Experimental results verified the proposed algorithms.
Keywords
feature extraction; image segmentation; least squares approximations; robotic welding; image processing; image segmentation; lap weld joint; lap welding seam tracking system; least-squares approximation; robust features extraction; structured light images; Feature extraction; Image processing; Image segmentation; Intelligent sensors; Optical filters; Robustness; Semiconductor lasers; Sensor systems; Smart cameras; Welding; Image processing; feature extraction; least-squares approximation; visual system; welding robot;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Computing and Telecommunication, 2009. YC-ICT '09. IEEE Youth Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5074-9
Electronic_ISBN
978-1-4244-5076-3
Type
conf
DOI
10.1109/YCICT.2009.5382358
Filename
5382358
Link To Document