• DocumentCode
    2788531
  • Title

    Estimation of crystal size distribution based on photomicrograph

  • Author

    Wei, Dongdong ; Zhao, Yuhong

  • Author_Institution
    Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1465
  • Lastpage
    1470
  • Abstract
    Crystal size distribution is important for the production of pharmaceuticals and many other products in a number of industries. A new method to estimate the crystal size distribution is developed based on crystal photomicrographs acquired from an optical microscope imaging system. The calibration of the imaging system is implemented by using a micrometer as a reference. Then particle size information is extracted from each of a set of crystal images through image processing techniques. Finally, according to the least square principle, different distribution functions are adopted to fit the particle size distribution respectively and the result with the minimum square error sum is chosen as the true size distribution. An industrial application shows that the proposed method can provide a satisfactory estimation for the particle size distribution.
  • Keywords
    image processing; least squares approximations; optical microscopes; particle size; pharmaceutical technology; pharmaceuticals; crystal photomicrograph; crystal size distribution; image processing techniques; least square principle; optical microscope imaging system; particle size; pharmaceuticals; Apertures; Atherosclerosis; Crystallization; Diffraction; Image processing; Industrial control; Optical imaging; Optical microscopy; Pharmaceuticals; Size control; Calibration; Crystal size distribution; Curve fitting; Image processing; Photomicrograph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192213
  • Filename
    5192213