• DocumentCode
    2746242
  • Title

    A new approach to scene analysis for IR images

  • Author

    Slamani, Mohamed A. ; Weiner, D.D. ; Ozturk, Aydln

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    872
  • Abstract
    A new automated approach is proposed for subdividing IR images into homogeneous regions and for approximating the probability density function underlying the random data in each region. The approach is illustrated with synthetic data. Both Gaussian and non-Gaussian portions of the image are readily approximated using the recently developed Ozturk algorithm
  • Keywords
    image segmentation; infrared imaging; Gaussian data; IR images; Ozturk algorithm; automated subdivision; homogeneous regions; nonGaussian data; probability density function; random data; scene analysis; Algorithm design and analysis; Background noise; Data analysis; Image analysis; Image processing; Probability density function; Process design; Shape; Statistical distributions; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.518952
  • Filename
    518952