DETECTION OF DETERIORATION AREA ON CONCRETE SURFACE USING SEGMENTATION METHOD BY DEEP LEARNING

DOI 1 Citations

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Other Title
  • 深層学習によるセグメンテーション手法を用いたコンクリート表面の変状領域の検出

Description

<p>In maintaining and managing social infrastructure, saving labor and improving efficiency in visual inspections is one of the urgent issues in the recent years. Therefore, in this study, in order to solve this problem, we apply segmentation method using deep learning to images acquired by a digital cameras and examined a method that automatically detects the deformation and classifies the degree of damage. In addition, we also investigated a method that uses depth images, and confirmed that the RGB-D camera is an effective device for labor saving and efficiency of visual inspection.</p>

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Details 詳細情報について

  • CRID
    1390004951546639872
  • NII Article ID
    130007940769
  • DOI
    10.11532/jsceiii.1.j1_481
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • Crossref
  • Abstract License Flag
    Disallowed

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