• DocumentCode
    3048140
  • Title

    Property of correlation between entropy and focus

  • Author

    Chen, Yu-Kumg ; Yang, Tung-Han ; Ko, Jian-Wei

  • Author_Institution
    Dept. of Electron. Eng., Huafan Univ., Shihding Township, Taiwan
  • fYear
    2010
  • fDate
    20-23 June 2010
  • Firstpage
    2471
  • Lastpage
    2476
  • Abstract
    It makes all the difference whether one recognizes objects through the clear or fuzzy image through a video. That is a so-called garbage in garbage out. In an imaging automatic identification system, in order to recognize the objects in a frame of a video correctly, it is very important to extract the clearest frame from the video. Based on observing the distribution of histogram for each frame from a section of video with the same scene, we find that the distribution range of histogram is wider if the frame is clear, otherwise, the distribution range of histogram is narrower when the frame is fuzzy. On the other hand, clear image contains higher entropy and fuzzy image contains lower entropy. According to this fact, the relationship between entropy and the clarity of an image is proposed in this paper. By using this property, the clearest image is extracted from a section of video with the same scene automatically. Experiments are carried out for some samples with scenes of different distance to demonstrate the correctness of the proposed property.
  • Keywords
    feature extraction; fuzzy set theory; video signal processing; frame extraction; fuzzy image; histogram distribution range; image extraction; imaging automatic identification system; Character recognition; Entropy; Focusing; Histograms; Image analysis; Image recognition; Layout; Licenses; Optical character recognition software; Surveillance; entropy; image processing; pattern recognition; surveillance system; video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2010 IEEE International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-5701-4
  • Type

    conf

  • DOI
    10.1109/ICINFA.2010.5512271
  • Filename
    5512271