• DocumentCode
    2251227
  • Title

    Auto focusing under microscopic views by integrating multiple measures

  • Author

    Lin, Ku Chin

  • Author_Institution
    Dept of Mech. Eng., Kun Shan Univ., Yun Kung, Taiwan
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    383
  • Lastpage
    387
  • Abstract
    Auto focusing has been implemented in many applications for decades. However, challenges still exist in design of high speed and reliability of a focusing algorithm under a variety of microscopic views. The clarity of images measured by a method is generally varying in hill-shaped manner with respect to lens positions at a focus region, but the signal-to-noise ratio of the measure is low at a far-off focused. This will limit the working range of focusing. This paper proposes a new method by integrating multiple measures for near and far-off focused. Monotonous variation of individual measures is integrated and used for expanding the working range of focusing control with adaptation of step size. Views for focusing under x50 microscopic lens using the proposed method are illustrated in this study. The working range is expanded to be 50 times of depth of field from focused. Feasibility of the proposed method is investigated on a practical PC-based system. Two case studies are provided to demonstrate the feasibility.
  • Keywords
    image processing; lenses; microscopes; optical focusing; optimisation; PC based system; auto focusing algorithm; hill climbing search algorithm; image clarity; microscopic lens; microscopic views; multiple measures; signal to noise ratio; Algorithm design and analysis; Asia; Charge coupled devices; Fast Fourier transforms; Focusing; Informatics; Lenses; Microscopy; Position measurement; Robotics and automation; auto focusing; hill climbing search; microscopic views; step-size adaptation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456817
  • Filename
    5456817