An Image Processing Based Method for Welding Defect Detection under Complex Environment
Author(s):
J. J. Zhu, F. Wang
Affiliation(s):
School of Electrical & Automatic Engineering, Changshu Institute of Technology, Changshu, 215500 China
ABSTRACT: Recognition and identification of weld defects dimensional position by computer vision is a key technology for practical industrial applications, especially under complex background. Aiming at this requirement, a method for weld defect detection under complex environment is proposed. Firstly, pre-location process is executed, in which filter technology, morphological technology, some geometrical features and edge detection are used to obtain the object in the vision. Secondly, line scan and a cluster algorithm are applied to find out the defect candidates. In the end several features are adopted to find out the real weld defect. The experimental results show that our method is effective in detecting weld defect under complex environment.
Keywords : Welding detection; Image process; Morphology, Cluster.
References
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