• DocumentCode
    2400051
  • Title

    A coarse-to-fine auto-focusing algorithm for microscopic image

  • Author

    Liu, Yung-Chun ; Hsu, Fu-Yu ; Chen, Hsin-Chen ; Sun, Yung-Nien ; Wang, Yi-Ying

  • Author_Institution
    Comput. Sci. & Inf. Eng., Nat. Cheng-Kung Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    8-10 June 2011
  • Firstpage
    416
  • Lastpage
    419
  • Abstract
    Auto-focusing is an important step in development a computer-aided evaluation system for diagnostic microscope. An auto-focusing algorithm can identify the best focus reliably and objectively, and prevents the tedious and time consuming steps of manual focusing. In this paper, a coarse-to-fine auto-focusing method is proposed based on a multi-resolution scheme which locates the focusing range by quadratic polynomial fitting in low resolution and achieves accurate focal point by using binary search in fine resolution. An algorithm was developed to identify the focal point under multiple image resolution with the Sum of Modified Laplacian (SML) as the focusing value. The main contribution of this system is to reduce the auto-focusing time. Comparing with the conventional binary search, the coarse-to-fine method only needs half of the time to accomplish auto-focusing. Using the proposed technique, the efficiency of auto-focusing system has been significantly improved.
  • Keywords
    image resolution; medical image processing; coarse-to-fine auto-focusing algorithm; computer-aided evaluation system; diagnostic microscope; image resolution; microscopic image; multiresolution scheme; quadratic polynomial fitting; sum of modified Laplacian; Accuracy; Fitting; Focusing; Image resolution; Laplace equations; Microscopy; Polynomials; auto-focusing; microscope image; sharpness measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science and Engineering (ICSSE), 2011 International Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-61284-351-3
  • Electronic_ISBN
    978-1-61284-472-5
  • Type

    conf

  • DOI
    10.1109/ICSSE.2011.5961939
  • Filename
    5961939