IMAGE PROCESSING AND EDGE DETECTION ON MULTI-PASS IMAGE

Abstract

Abstract: Wavelet transform and mathematic morphology algorithms are used to process multi-pass seam image to get weld pass and groove’s edges. Firstly, 2-D wavelet transform algorithm is used to process multi-pass seam image and get its dark section and bright section information, since the absolute peak values of dark section and bright section are greater than other section, process the results of image’s wavelet transform into binary image to get the location information corrisponding peak values. Secondly, mathematic morphology algorithm is used to process dark section and bright section images according to their peak values’ location characters. At last the edges of weld pass and groove are picked up. The edge information achieved via this algorithm is in good agreement with that of original image.

Key words: Bright section, Dark section, Mathematic morphology, Wavelet transform

CLC Number:

TG409

Huang Junfen;Yin Shuyan;Zou Yong;Jiang Lipei. IMAGE PROCESSING AND EDGE DETECTION ON MULTI-PASS IMAGE[J]. , 2005, 41(6): 133-136.

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IMAGE PROCESSING AND EDGE DETECTION ON MULTI-PASS IMAGE

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