Weld pool image procession based on the Fourier-DNA low-pass filtering

Abstract

In order to extract the character of weld pool, a new method for weld pool image procession based on the Fourier-DNA low-pass filtering is proposed. Firstly, the TIG welding technique is chosen to be the researched object. The welding experimental system is setup, which is used to capture weld pool images in real time. On this basis, Fourier transformation is performed to weld pool image, and changed the space domain to frequency domain. Then the DNA low-pass filtering is constructed. The DNA intelligent algorithm is used to obtain the optimum low-pass cut-off frequency, and the low-pass filtering can be obtained. The binaryzation operation by the optimum low-pass filtering method and the traditional otsu method have been done. The results show that the method proposed in the paper has a better binaryzation performance. In the end, canny edge extract operation are performed. So the weld pool image edge can be obtained, which has made some basis for the extraction of weld pool character latter on.

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