• DocumentCode
    535274
  • Title

    Comparison analysis on present image-based crack detection methods in concrete structures

  • Author

    Wang, Pingrang ; Huang, Hongwei

  • Author_Institution
    Dept. of Geotechnical Eng., Tongji Univ., Shanghai, China
  • Volume
    5
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2530
  • Lastpage
    2533
  • Abstract
    Crack detection is of particular crucial for safety and cost-effective maintenance of concrete structures. Many image-based detection methods have been highly proposed for their automation, objectivity and efficiency. However there are many difficulties in image-based crack detection for various reasons. In this paper, the present image-based crack detection methods are summarized and subdivided into four categories: integrated algorithm, morphological approach, percolation-based method, and practical technique. Experiment results and comparison analysis on the four categories of methods are presented.
  • Keywords
    crack detection; image processing; structural engineering computing; concrete structure; image-based crack detection method; integrated algorithm; morphological approach; percolation-based method; Algorithm design and analysis; Automation; Concrete; Image segmentation; Noise; Pixel; Shape; comparison analysis; crack detection; methods categorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647496
  • Filename
    5647496