• DocumentCode
    3350866
  • Title

    Edge detection of three-dimensional objects by manipulating pupil functions in an optical scanning holography system

  • Author

    Zhang, Xin ; Lam, Edmund Y.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    3661
  • Lastpage
    3664
  • Abstract
    The paper presents a technique of manipulating the pupil function in the optical scanning holography (OSH) system to detect the edge of a three-dimensional object. OSH is a fast biomedical imaging system that scans a three-dimensional (3D) object and encodes its intensity information into a two-dimensional hologram. The reconstruction of sectional images from a hologram has been well discussed as post-processing methods. However, manipulating pupil functions as a pre-processing technique has been less investigated. The latter can detect any specific part of an object by manipulating the pupil function. Here, we focus on the edge detection of a 3D object, which is implemented by configuring two pupil functions as a Dirac delta function and the Laplacian of the Gaussian, respectively. The simulated experiment demonstrates that the technique is a real-time pre-processing method to obtain the edge of the 3D object.
  • Keywords
    edge detection; holography; image reconstruction; Gaussian; Laplacian; biomedical imaging system; optical scanning holography system; post-processing methods; pupil functions; sectional images reconstruction; three-dimensional objects edge detection; two-dimensional hologram; Holographic optical components; Holography; Image edge detection; Image reconstruction; Optical imaging; Three dimensional displays; Image reconstruction; edge detection; pre-processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652483
  • Filename
    5652483