• DocumentCode
    3323960
  • Title

    Texture direction analysis using edge counts

  • Author

    Vaidyanathan, G. ; Lynch, P.M.

  • Author_Institution
    Dept. of Mech. Eng., Tulane Univ., New Orleans, LA, USA
  • fYear
    1989
  • fDate
    9-12 Apr 1989
  • Firstpage
    733
  • Abstract
    Texture can be modeled as an arrangement of visible edges which in turn amalgamate into patterns. These edges are due to variations in local gray levels. A method for estimating the angular orientation of a texture pattern using these edges is presented. The total number of edge transitions in four different directions, namely, horizontal, vertical, right diagonal, and left diagonal, or an image are counted. A model relating the four directional edge-transition counts is developed and used to determine the predominant orientation of the pattern. The technique is shown to be effective with both regular and random patterns as well as natural textures. The accuracy of the procedure is analyzed and evaluated
  • Keywords
    picture processing; angular orientation; edge counts; natural textures; picture processing; random patterns; regular patterns; texture direction analysis; texture pattern; Artificial intelligence; Bidirectional control; Detectors; Humans; Image edge detection; Image texture analysis; Layout; Mechanical engineering; Pixel; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '89. Proceedings. Energy and Information Technologies in the Southeast., IEEE
  • Conference_Location
    Columbia, SC
  • Type

    conf

  • DOI
    10.1109/SECON.1989.132497
  • Filename
    132497