• DocumentCode
    242673
  • Title

    Entropy Based Image Identifier Generation

  • Author

    Je-Ho Park ; Changwon Kang

  • Author_Institution
    Comput. Sci. & Eng., Dankook Univ., Cheonan, South Korea
  • fYear
    2014
  • fDate
    28-30 Oct. 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    When an image identifier is generated by using features which are extracted from the global image space and the information used for the identifier generation is not distributed over the overall image space, the generated image identifier might failed to satisfy its objective - identification of image. In this paper, in order to resolve the problem, we discuss an entropy based approach which utilize local region with enough information for identifier generation.
  • Keywords
    feature extraction; image processing; feature extraction; global image space; image identifier generation; image space; local region; objective identification; Computer science; Entropy; Feature extraction; Image databases; Image segmentation; Object recognition; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT Convergence and Security (ICITCS), 2014 International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ICITCS.2014.7021766
  • Filename
    7021766
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=242673