• DocumentCode
    3179267
  • Title

    Edge based texture segmentation

  • Author

    Vaidyanathan, G. ; Lynch, P.M.

  • Author_Institution
    Dept. of Mech. Eng., New Orleans Univ., LA, USA
  • fYear
    1990
  • fDate
    1-4 Apr 1990
  • Firstpage
    1110
  • Abstract
    A method for detecting edges in a multitextural image is proposed. The edge-based procedure uses a texture edge operator in a single-pass algorithm. The operator is based on the differences of mean texture measures extracted from a set of adjacent image neighborhood regions. The absolute mean of the set of regions are evaluated. To discriminate between points which are edges of texture elements and points which are far from edges, a tolerance value is imposed on the absolute mean deviations. Deviations greater than the tolerance value are taken to indicate an edge. The technique is shown to be effective with natural and artificial textures
  • Keywords
    picture processing; absolute mean deviations; artificial textures; boundary detection; edge based texture segmentation; multitextural image; natural textures; single-pass algorithm; texture edge operator; tolerance value; Data mining; Image edge detection; Image segmentation; Image texture analysis; Joining processes; Layout; Mechanical engineering; Merging; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '90. Proceedings., IEEE
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/SECON.1990.117993
  • Filename
    117993