Research on Surface of Casting Defect Detection Based on Machine Vision Technology

徐, 建亮

doi:10.12677/csa.2020.101006

CSA

2020

DOI: 10.12677/csa.2020.101006

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Research on Surface of Casting Defect Detection Based on Machine Vision Technology

建亮徐¹

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2022

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Defect identification method of macrostructure crack based on position information feature

Wang

2022

J. Phys.: Conf. Ser.

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A method for the recognition of macrostructure crack defects based on feature position information is proposed. Establish a deep learning module based on the UNet network, which includes spatial location information. According to the location information of different crack defects, add the spatial information extraction module behind the convolution layer. The defect location feature information and up sampling feature information are fusion, recognition of crack defects with different macrostructures by network training. This method realizes the automatic recognition of crack defects, reduces the labor intensity and improves the recognition efficiency.

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Defect identification method of macrostructure crack based on position information feature

Wang

2022

J. Phys.: Conf. Ser.

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Research on Surface of Casting Defect Detection Based on Machine Vision Technology

Cited by 1 publication

References 12 publications

Defect identification method of macrostructure crack based on position information feature

Defect identification method of macrostructure crack based on position information feature

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