Paper Info
Title
Features extraction for structured light image of welding seam with arc and splash disturbance
Abstract
A method of image process and features extraction for structured light image of welding seam with arc and splash disturbance is proposed. The seam area is detected by search with large step. The adaptive thresholds of image enhancement are determined in the frequency domain of the gray image. Then, the target image is pre-processed using image enhancement and binarization. After thinning the seam with its both edges, main characteristic line is obtained using Hotelling transform and Hough transform. Finally, the feature points in the seam are found according to its second derivative. Experimental results show its effectiveness, good performance in real time and adaptability to different seams.
Year
DOI
Venue
2004
10.1109/ICARCV.2004.1469291
ICARCV
Keywords
Field
DocType
image thinning,arc disturbance,adaptive threshold,image processing,production engineering computing,welding seam tracking,features extraction,gray image,image segmentation,image binarization,splash disturbance,arc welding,hotelling transform,feature extraction,hough transform,structured light image,image enhancement,structure light vision,hough transforms,frequency domain,structured light,adaptive thresholding
Frequency domain,Computer vision,Structured light,Pattern recognition,Computer science,Hough transform,Feature extraction,Image segmentation,Artificial intelligence,Arc welding,Welding,Splash
Conference
Volume
ISSN
ISBN
3
2474-2953
0-7803-8653-1
Citations 
PageRank 
References 
5
0.75
0
Authors
4
Name
Order
Citations
PageRank
De Xu16210.73
Zemin Jiang291.55
Linkun Wang3101.71
Min Tan42342201.12