• DocumentCode
    3056500
  • Title

    Texture segmentation and region classification by orthogonal decomposition of co-occurrence matrices

  • Author

    Haddon, J.F. ; Boyce, J.F.

  • Author_Institution
    Defence Res. Agency, R. Aerosp. Estab., Farnborough, UK
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    692
  • Lastpage
    695
  • Abstract
    Techniques are presented for determining the periodicity and scale of texture; this information is used to define an adaptive transform based on edge co-occurrence matrices for segmenting textured regions. The texture of the region is characterised by an orthogonal decomposition of the co-occurrence matrix using 2-dimensional discrete Hermite functions. The coefficients of this decomposition provide a low order feature vector which can be used for texture classification
  • Keywords
    image segmentation; image texture; matrix algebra; 2-dimensional discrete Hermite functions; adaptive transform; co-occurrence matrices; image texture; orthogonal decomposition; periodicity; region classification; texture classification; texture segmentation; Adaptive control; Aerospace control; Discrete transforms; Fourier transforms; Image analysis; Image processing; Image segmentation; Matrix decomposition; Pixel; Programmable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2910-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201655
  • Filename
    201655