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作 者:DU Quanying CHEN Shanben LIN Tao
机构地区:[1]Institute of Welding Engineering,Shanghai Jiaotong University,Shanghai 200030, China
出 处:《Chinese Journal of Mechanical Engineering》2006年第2期168-171,共4页中国机械工程学报(英文版)
基 金:This project is supported by National Natural Science Foundation of China(No.50575144).
摘 要:A valid image-processing algorithm of weld pool surface reconstruction according to an input image of weld pool based on shape from shading (SFS) in computer vision is presented. The weld pool surface information is related to the backside weld width, which is crucial to the quality of weld joint. The image of weld pool is recorded with an optical sensing method. Firstly, the reflectance map model, which specifies the imaging process, is estimated. Then, the algorithm of weld pool surface reconstruction based on SFS is implemented by iteration scheme and speeded by hierarchical structure. The results indicate the accuracy and effectiveness of the approach.A valid image-processing algorithm of weld pool surface reconstruction according to an input image of weld pool based on shape from shading (SFS) in computer vision is presented. The weld pool surface information is related to the backside weld width, which is crucial to the quality of weld joint. The image of weld pool is recorded with an optical sensing method. Firstly, the reflectance map model, which specifies the imaging process, is estimated. Then, the algorithm of weld pool surface reconstruction based on SFS is implemented by iteration scheme and speeded by hierarchical structure. The results indicate the accuracy and effectiveness of the approach.
关 键 词:Weld pool surface RECONSTRUCTION Reflectance map model Shape from shading(SFS)
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