• DocumentCode
    535462
  • Title

    Pavement core sample image acquisition system based on line-scan camera

  • Author

    Chaofan Wang ; Aimin Sha ; Zhaoyun Sun

  • Author_Institution
    Key Lab. for Special Area Highway Eng. of Minist. of Educ., Chang´an Univ., Xi´an, China
  • Volume
    6
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2614
  • Lastpage
    2618
  • Abstract
    The gradation of the asphalt mixture is the critical factor that affects the performance of the pavement. In order to test the gradation of the pavement core sample by using the image processing techniques, a line-scan camera based pavement core sample image acquisition system is built. The hardware of the system mainly contains the image acquisition part, core sample rotation platform and the lighting part and the parameter setting method of the line scan camera are also depict. The software of the system implemented by using the double buffering techniques and the ActiveMIL controls in the Visual Studio C# .NET integrated development environment. Finally, the laser diode is selected as the light source and the line period is set to 300 μs after the comparative analysis to the acquired images. The line-scan camera based pavement core sample image acquisition system could acquire high quality images of the asphalt mixture with low distortion, which is worthy trying in practice.
  • Keywords
    civil engineering computing; image processing; ActiveMIL control; Visual Studio C# .NET; asphalt mixture; critical factor; double buffering technique; image acquisition system; image processing; line scan camera; pavement core sample; Asphalt; Cameras; Diode lasers; Hardware; Lighting; Pixel; Software; ActiveMIL; double buffering; line periods; line scan camera; pavement sample;
  • 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.2010.5648155
  • Filename
    5648155