The invention discloses a complex
fillet weld joint position detecting method based on
laser binocular vision. The complex
fillet weld joint position detecting method based on the
laser binocular vision overcomes the defect that a traditional image detecting
algorithm is poor in extracting precision and extracting stability of
fillet weld joint feature points. According to the technical scheme, the complex fillet weld joint position detecting method based on the
laser binocular vision includes the following steps that a
laser scanning workpiece is used, a binocular
CCD camera is used for collecting an image, and the collected
grey level image is transmitted to a
software system of a computer to be processed; the
processing procedures are sequentially median filtering, binarization, refining, obtaining the maximum connected domain, close
angular point searching, straight
line fitting and intersection point obtaining; finally, image coordinates of the weld joint feature points are obtained. The pre-
processing method (median filtering, binarization, refining, obtaining the maximum connected domain) is used for removing interference of the background of the image and narrowing the retrieval range of sequential
processing. A close
angular point searching strategy is provided, the speed of
angular point detection is improved and finally, the detection precision reaches the sub-pixel class by means of the straight
line fitting and intersection point obtaining method.