• DocumentCode
    2225367
  • Title

    The Application of Digital Image Processing Technology in the Quantitative Study of the Coarse Aggregate Shape Characteristics

  • Author

    Zhang, Juan ; Huang, Xin-Yuan ; Wu, Jian ; Xie, Mao-jin

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Beijing Forestry Univ., Beijing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    1471
  • Lastpage
    1475
  • Abstract
    The angularity of coarse aggregate is a key characteristic. The high-temperature stability, low temperature anti-cracking performance and moisture susceptibility of asphalt mixture are influenced greatly when coarse aggregates are used in the asphalt pavement. Three indexes were used for quantizing the angularity of coarse aggregate. They are FI (Form Index), Angularity GM (Gradient Method) and Angularity RM (Radius Method). These three indexes can be obtained through computing the coordinates of the edge-points of the coarse aggregates. The coordinates can be obtained through image processing. The whole process is divided into the following steps: image preprocessing, image segmentation, morphological image processing and contour tracing. Automatic processing of data by computer greatly reduces the workload, and provides the convenience for calculation and storage of data. The information collection of the angularity of coarse aggregate is simplified.
  • Keywords
    gradient methods; image processing; shape recognition; FI; GM; RM; coarse aggregate shape characteristics; digital image processing technology application; gradient method; high temperature stability; image preprocessing; image segmentation; low temperature anticracking performance; moisture susceptibility; morphological image processing; quantitative study; radius method; Aggregates; Asphalt; Digital images; Gradient methods; Image processing; Image segmentation; Moisture; Shape; Stability; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1173
  • Filename
    5455229