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《China Mechanical Engineering(中国机械工程)》 2004-13
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Edge Detection of Welding Molten Pool Image Based on M-band Wavelet Transform

Xue Jiaxiang Jia Lin Li Haibao South China University of Technology,Guangzhou,510640  
The M-channel wavelet transform were employed to process the image of CO 2 welding in order to detect effectively the edge of the molten pool and the location of weld based on the approaches of Mallat's wavelet transform modulus maxima. The M-channel wavelet transform and the algorithm and the influences on the results of the edge detection have been investigated. It is demonstrated by the experimental results that better performance to extract the edge of the molten pool and the location of weld can be obtained by using the M-channel wavelet transform. The proposed edge detection approach can be further applied to the control of molten depth, the seam tracking and so on.
【Fund】: 广东省自然科学基金资助项目 ( 0 0 0 3 80 )
【CateGory Index】: TG434
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Chinese Journal Full-text Database 4 Hits
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Chinese Journal Full-text Database 1 Hits
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【Co-citations】
Chinese Journal Full-text Database 3 Hits
1 Xue Jiaxiang Jia Lin Li Haibao South China University of Technology,Guangzhou,510640;Edge Detection of Welding Molten Pool Image Based on M-band Wavelet Transform[J];中国机械工程;2004-13
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