A Drone-Based Concrete Crack Inspection System by Using Morphological Component Analysis and Sub-Pixel Width Estimation

DOI

説明

Social infrastructure inspections were relying on human experts, and then a recent topic is a possible implementation to realize an automated inspection based on machines and sophisticated software algorithms. We have studied an advancement of Morphological Component Analysis (MCA) to apply the concrete-crack position estimation especially for submillimeter-width cracks, which are highly difficult for traditional methods to detect finely. We demonstrated a concrete crack detection from images obtained from proximity cameras attached a specialized multicopter, by using the MCA-based crack position estimation and the linear regression-based sub-pixel width estimation. It will contribute to the actual field work not only for the concrete crack detection but also various social infrastructure inspections.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390291767555858432
  • DOI
    10.5954/icarob.2022.gs1-3
  • ISSN
    21887829
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
    • OpenAIRE
  • 抄録ライセンスフラグ
    使用不可

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