Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints
Abstract
Quality monitoring of welded joints is still quite a tedious job for many industries. The surface defects on welded joints arises from the improper selection of various input parameters which further result bad quality weld. This paper highlight the application of a computer vision algorithm called Discrete Fourier Transformation approach for identification of surface defects present on TIG Welded joints.
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