• DocumentCode
    2476635
  • Title

    Equal-intensity map texture modeling for natural scene segmentation

  • Author

    Celenk, Mehmet ; Zhou, Qiang ; Chelberg, David

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    For accurate segmentation of natural scenes, there is a need for powerful, yet simple, color and texture models. Many of the existing segmentation techniques are able to segment homogeneous color scenes as well as the textured images. Despite their computational power, these methods require the estimation of model parameters that are usually difficult to obtain. We propose a simple, yet effective, image model that can efficiently describe natural textures for color scene segmentation and, in turn, be utilized in texture synthesis
  • Keywords
    image colour analysis; image segmentation; image texture; natural scenes; color models; equal-intensity map texture modeling; image model; natural scene segmentation; texture synthesis; Computer science; Image analysis; Image reconstruction; Image segmentation; Image texture analysis; Layout; Lighting; Parameter estimation; Pixel; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on
  • Conference_Location
    Sante Fe, NM
  • Print_ISBN
    0-7695-1537-1
  • Type

    conf

  • DOI
    10.1109/IAI.2002.999921
  • Filename
    999921