• DocumentCode
    2321964
  • Title

    A contrast-based focusing criterium

  • Author

    Binefa, Xavier ; Vitrià, Jordi

  • Author_Institution
    Dept. d´´Inf., Univ. Autonoma de Barcelona, Spain
  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    805
  • Abstract
    In this paper a new criterion for determining the optimal focus setting during the image acquisition process is presented. It is based upon a new representation of the focal variation of contrast between images: the dynamic contrast histogram (DCH). The DCH of a point is a scaled joint probability density function between the gray levels of two images of the same scene, acquired with different focus settings in a neighbourhood of that point. The dynamic focusing criterion (DFC) developed here computes the slope of the principal axis of the DCH as a focusing criterion. The results of this technique are compared to other methods based on a quality measure of its focusing ability, its sensitivity to noise, and its computational complexity. Results are presented from microscopic images
  • Keywords
    active vision; computational complexity; computer vision; optical focusing; optical self-focusing; probability; computational complexity; contrast-based focusing criterion; dynamic contrast histogram; image acquisition; microscopic images; noise sensitivity; scaled joint probability density function; Artificial intelligence; Computer vision; Convolution; Equations; Focusing; Frequency; Layout; Lenses; Microscopy; Optical noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546135
  • Filename
    546135