DocumentCode :
461209
Title :
Direct Imaging Based Seam Tracking for Welding Control
Author :
Tuominen, Jyrki ; Lipping, Tarmo
Author_Institution :
Fac. of Technol. & Maritime Manage., Satakunta Polytech., Pori
Volume :
1
fYear :
2006
fDate :
9-13 July 2006
Firstpage :
431
Lastpage :
434
Abstract :
In this paper a method for seam tracking in automated welding systems using direct imaging with advanced signal processing rather than optical filtering is presented. Optimal algorithms for prefiltering, edge detection and segmentation have been searched for. A variation of the FIR median hybrid (FMH) filter proved to be the best solution for the prefiltering task. Edge detection is performed using Sobel 3times3 convolution mask. A new variation of Hough transform called angle limited Hough transform is presented for segmentation. The results show that direct imaging with advanced image processing can provide accurate and reliable measurement of groove edges. The developed system requires less hardware than traditional laser stripe triangulation systems and therefore reduces the cost of automatic seam tracking.
Keywords :
Hough transforms; control engineering computing; edge detection; filtering theory; image segmentation; production engineering computing; welding; advanced signal processing; angle limited Hough transform; automated welding systems; automatic seam tracking; direct imaging; edge detection; image segmentation; prefiltering task; welding control; Automatic control; Filtering; Finite impulse response filter; Image edge detection; Image segmentation; Optical filters; Optical imaging; Optical signal processing; Signal processing algorithms; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
Type :
conf
DOI :
10.1109/ISIE.2006.295633
Filename :
4077964
Link To Document :
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