DocumentCode
3133798
Title
Robust features extraction for lap welding seam tracking system
Author
Gu, Chunlan ; Li, Yuan ; Wang, Qinglin ; Xu, De
Author_Institution
School of Automation, Beijing Institute of Technology, 100081, 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 WT 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 processing; Image segmentation; Intelligent sensors; Laboratories; Least squares approximation; Optical sensors; Robotics and automation; Robustness; 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, China
Print_ISBN
978-1-4244-5074-9
Electronic_ISBN
978-1-4244-5076-3
Type
conf
DOI
10.1109/YCICT.2009.5382359
Filename
5382359
Link To Document