• DocumentCode
    3223780
  • Title

    Image segmentation by texture analysis

  • Author

    Di Ruberto, Cecilia ; Rodriguez, Giuseppe ; Vitulano, Sergio

  • Author_Institution
    Dipt. di Matematica, Cagliari Univ., Italy
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    376
  • Lastpage
    381
  • Abstract
    Texture segmentation is a significant and primary issue in texture analysis. It is concerned with automatically determining the boundaries between various textured regions in an image. In this paper we propose a region-based method for textured image segmentation. First, we consider the basic problem of texel identification and the determination of its shape. Further we describe the texture characterized by a texel, that is we identify the equivalence class of a certain structural description. Finally, we improve the accuracy of the boundaries provided by the segmentation algorithm using a least squares spline approximation
  • Keywords
    equivalence classes; identification; image segmentation; image texture; least squares approximations; splines (mathematics); equivalence class; image segmentation; least squares approximation; region-based method; shape determination; spline approximation; structural description; texel identification; texture analysis; Biomedical imaging; Data mining; Electrical capacitance tomography; Entropy; Image analysis; Image edge detection; Image segmentation; Image texture analysis; Smoothing methods; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 1999. Proceedings. International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    0-7695-0040-4
  • Type

    conf

  • DOI
    10.1109/ICIAP.1999.797624
  • Filename
    797624