• DocumentCode
    557661
  • Title

    Reduction of twin image in in-line digital holographic microscopy for biological cells´ observation by segmentation mask method

  • Author

    Zhou, Hao ; Gu, Jihua ; Chen, Daqing

  • Author_Institution
    Key Lab. of Modern Opt. Eng., Soochow Univ., Suzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    729
  • Lastpage
    732
  • Abstract
    During the reconstruction process of in-line digital holographic microscopic hologram, the main noise comes from the dispersed twin image. A segmentation mask method by selecting threshold value is introduced in order to reduce the disturbance. Experimental results show the satisfied effect by the proposed method.
  • Keywords
    biology computing; cellular biophysics; holography; image reconstruction; image segmentation; microscopy; biological cells observation; disturbance reduction; in-line digital holographic microscopic hologram; in-line digital holographic microscopy; reconstruction process; segmentation mask method; twin image reduction; Biological cells; Holography; Image reconstruction; Image segmentation; Microscopy; Optical microscopy; Optimized production technology; biological cells´ observation; digital holographic microscopy; segmentation mask;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100266
  • Filename
    6100266