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Inspection apparatus and method based on deep learning

机译:基于深度学习的检验装置和方法

摘要

A facility defect detection apparatus and method using deep learning are disclosed. A facility defect detection apparatus using deep learning includes: a line scan camera for photographing a facility image; An image reconstruction unit for matching the facility image and the reference image using a phase correlation result between the facility image and the reference image; A facility detector configured to detect a facility by applying the matched facility image and the reference image to a deep learning-based facility detection model; And a transformation inspection unit that performs image conversion through homography and light flow estimation between the two facilities detected in the facility image and the reference image, and detects a defect area by removing noise through a morphology operation on the two facilities converted into the image. Includes.
机译:公开了一种使用深度学习的设施缺陷检测装置和方法。使用深度学习的设施缺陷检测装置包括:用于拍摄设施图像的线扫描相机;用于使用相位相关性的设施图像和参考图像匹配设施图像和参考图像的图像重建单元;设施检测器,用于通过将匹配的设施图像和参考图像应用于基于深度学习的设施检测模型来检测设施;和转换检查单元通过在设施图像和参考图像中检测到的两个设施之间通过同住和光流程估计来执行图像转换,并通过通过转换为图像的两个设施的形态操作来通过传递噪声来检测缺陷区域。包括。

著录项

  • 公开/公告号KR102221317B1

    专利类型

  • 公开/公告日2021-03-02

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020190161867

  • 申请日2019-12-06

  • 分类号G01N21/88;G06K9/46;G06K9/64;G06T7;

  • 国家 KR

  • 入库时间 2024-06-14 21:20:30

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