• DocumentCode
    3350267
  • Title

    Phase-grouping pavement cracks extraction method based on genetic algorithm

  • Author

    Yang, Rui-rui ; Niu, Jian-qiang

  • Author_Institution
    Electron. Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    4159
  • Lastpage
    4162
  • Abstract
    Analysis for existed pavement cracks extraction algorithm, pointing out the problems and deficiencies, a phase-grouping pavement cracks extraction method based on genetic algorithm was proposed. This method first used a genetic algorithm to determine the optimal threshold, which achieved the threshold of image segmentation; then adopted phase-grouping method to extract pavement cracks information. Experimental results show that the continuous cracks can be stable and effectively extracted, and the computational complexity is linear, it is conducive to high-speed real-time processing.
  • Keywords
    condition monitoring; crack detection; genetic algorithms; image segmentation; roads; structural engineering computing; computational complexity; genetic algorithm; image segmentation; optimal threshold; phase-grouping pavement cracks extraction method; Application software; Computational complexity; Computer vision; Data mining; Educational institutions; Genetic algorithms; Genetic engineering; Image edge detection; Image segmentation; Phase detection; crack extract; genetic algorithm; phase-grouping method; threshold segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535664
  • Filename
    5535664