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    Journals >Journal of Applied Optics >Volume 44 >Issue 1 >Page 86 > Article
    • Journal of Applied Optics
    • Vol. 44, Issue 1, 86 (2023)
    Image segmentation method of surface defects for metal workpieces based on improved U-net
    Yi WANG1,2, Xiaojie GONG1,*, and Hao SU1,3
    Author Affiliations
  • 1College of Electrical Engineering, North China University of Science and Technology, Tangshan 063210, China
  • 2Tangshan Technology Innovation Center of Intellectualization of Metal Component Production Line, Tangshan 063210, China
  • 3Tangshan Key Laboratory of Semiconductor Integrated Circuits, Tangshan 063210, China
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    DOI: 10.5768/JAO202344.0102004 Cite this Article
    Yi WANG, Xiaojie GONG, Hao SU. Image segmentation method of surface defects for metal workpieces based on improved U-net[J]. Journal of Applied Optics, 2023, 44(1): 86 Copy Citation Text show less
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    Yi WANG, Xiaojie GONG, Hao SU. Image segmentation method of surface defects for metal workpieces based on improved U-net[J]. Journal of Applied Optics, 2023, 44(1): 86
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