• DocumentCode
    2812430
  • Title

    Multifractal Measures for Tissue Image Classification and Retrieval

  • Author

    Hemsley, Anna ; Mukundan, Ramakrishnan

  • Author_Institution
    Comput. Sci. & Software Eng., Univ. of Canterbury, Christchurch, New Zealand
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    618
  • Lastpage
    623
  • Abstract
    Multifractal analysis has recently found applications in the field of automatic classification and content based retreival of tissue and cell images. The classification accuracy in such methods largely depends on the invariant characteristics of the spectra computed for a chosen intensity measure. It is therefore necessary to carry out a detailed analysis of suitable measures and the invariance of the resulting spectra. This paper discusses some key implementation aspects of multifractal based classification techniques, gives a comparative analysis of different types of intensity measures, and presents experimental results showing the corresponding inter-class and intra-class variations in the multifractal spectra.
  • Keywords
    biological tissues; biology computing; cellular biophysics; content-based retrieval; fractals; image classification; image retrieval; medical image processing; automatic classification; cell images; classification accuracy; content based retreival; multifractal analysis; multifractal measures; tissue image classification; tissue image retrieval; Biomedical imaging; Biomedical measurements; Computer science; Fractals; Image analysis; Image classification; Image retrieval; Shape; Size measurement; Software engineering; multifractal measures; tissue classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2009. ISM '09. 11th IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-5231-6
  • Electronic_ISBN
    978-0-7695-3890-7
  • Type

    conf

  • DOI
    10.1109/ISM.2009.94
  • Filename
    5363079