TY - GEN
T1 - Automatic welding track detection for welding process by machine vision
AU - Kiswanto, Gandjar
AU - Rianto, A.
PY - 2012
Y1 - 2012
N2 - The use of machine vision technology in the welding process has been developed along with the need for more consistent and more qualified welding results. The application of machine vision to perform object analysis without direct contact to the object itself making the whole processes fast while maintaining the accuracy. In this study, some image processing algorithms are combined which include : image enhacement (grayscaling and median filtering), edge detection, binarization, and Hough Transform for line detection. The candidate of welding tracks are produced through this standard algorithm. However, afterward, some modifications to the Hough transforms are carried to enable finding the actual welding tracks. The implemented method is capable of detecting the actual welding tracks and their appropriate welding path with accuracy not more than 0.9 mm.
AB - The use of machine vision technology in the welding process has been developed along with the need for more consistent and more qualified welding results. The application of machine vision to perform object analysis without direct contact to the object itself making the whole processes fast while maintaining the accuracy. In this study, some image processing algorithms are combined which include : image enhacement (grayscaling and median filtering), edge detection, binarization, and Hough Transform for line detection. The candidate of welding tracks are produced through this standard algorithm. However, afterward, some modifications to the Hough transforms are carried to enable finding the actual welding tracks. The implemented method is capable of detecting the actual welding tracks and their appropriate welding path with accuracy not more than 0.9 mm.
KW - Automation
KW - Image processing
KW - Machine vision
KW - Welding track detection
UR - http://www.scopus.com/inward/record.url?scp=84857478695&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMR.462.886
DO - 10.4028/www.scientific.net/AMR.462.886
M3 - Conference contribution
AN - SCOPUS:84857478695
SN - 9783037853610
T3 - Advanced Materials Research
SP - 886
EP - 890
BT - Material Science and Engineering Technology
T2 - 2011 International Conference on Material Science and Engineering Technology, ICMSET 2011
Y2 - 11 November 2011 through 13 November 2011
ER -