A method of image morphology in detecting and extracting the initial welding position during the
autonomous welding process is described. During the process, firstly visual sensing technology is used to capture
the straight seam image, and secondly the image edges are detected by morphological corrosion edge detection
algorithm, with which can retain the critical information while filter other interferences effectively at the same
time. Then morphological processing algorithm is used to conduct the direction of filter by selecting the multidirectional
linear structuring elements and finally get the initial weld position point coordinates with the Hough
transform. The algorithm is simple, rapid, self-adaptability with high accuracy for interferences except long lines
so as to accomplish the entire process of detecting the initial welding position. It can meet the practical demands
of automatic guidance for robotic welding.
WEI Shan-chun (卫善春), WANG Jian (王健), LIN Tao (林涛), CHEN Shan-ben (陈善本)
. Application of Image Morphology in
Detecting and Extracting the Initial Welding Position[J]. Journal of Shanghai Jiaotong University(Science), 2012
, 17(3)
: 323
-326
.
DOI: 10.1007/s12204-012-1278-9
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