• DocumentCode
    2074722
  • Title

    Directional Invariance of Co-occurrence Matrices within the Liver

  • Author

    Philips, Carl ; Li, Daniel ; Raicu, Daniela ; Furst, Jacob

  • Author_Institution
    DePaul Univ., Chicago, IL
  • fYear
    2008
  • fDate
    June 29 2008-July 5 2008
  • Firstpage
    29
  • Lastpage
    34
  • Abstract
    Co-occurrence matrices are one of three texture algorithms commonly used on computed tomography (CT) images. In this paper we analyze the directional invariance of Co-occurrence matrices for the purpose of reducing their runtime by reducing the number of directions analyzed without negatively affecting the quality of the texture data extracted.
  • Keywords
    computerised tomography; image classification; image texture; liver; medical image processing; co-occurrence matrices; computed tomography images; directional invariance; liver; texture algorithms; Computed tomography; Data mining; Feature extraction; Image analysis; Image texture analysis; Jacobian matrices; Liver; Predictive models; Shape; Signal processing algorithms; 3D; Liver; texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biocomputation, Bioinformatics, and Biomedical Technologies, 2008. BIOTECHNO '08. International Conference on
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-0-7695-3191-5
  • Electronic_ISBN
    978-0-7695-3191-5
  • Type

    conf

  • DOI
    10.1109/BIOTECHNO.2008.24
  • Filename
    4561130
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2074722