• DocumentCode
    3319097
  • Title

    Particle Measurement by Image Processing and Analysis

  • Author

    Wang, Weixing ; Luo, Wang ; Tang, Jun

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    2
  • fYear
    2006
  • fDate
    3-6 Nov. 2006
  • Firstpage
    1861
  • Lastpage
    1864
  • Abstract
    To characterize particle size and shape by using image technique, the first step is to delineate particle, and then to measure each delineated particle in a right way. For the two steps, there are a number of algorithms have been developed by previous researchers, but there is no standard. This paper describes a genetic algorithm using for delineation of solid particles. It is a new study for particle images. We present the image segmentation system which incorporates a genetic algorithm to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions. After particle delineation, we studied a new algorithm for particle measurement, which is rotation-invariantly, reproducibly, simply, and reasonably. The two algorithms were tested by a number of particle images; they work well in our cases
  • Keywords
    feature extraction; genetic algorithms; image segmentation; spatial variables measurement; genetic algorithm; image analysis; image processing; image segmentation; particle images; particle measurement; particle shape; particle size; solid particle delineation; Genetic algorithms; Image analysis; Image processing; Image segmentation; Particle measurements; Shape measurement; Size measurement; Solids; Standards development; Testing; Delineation; Genetic algorithm; reproducibly; rotation- invariantly; simply;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.295388
  • Filename
    4076294