• DocumentCode
    2991812
  • Title

    Polynomial shift-invariant operators for texture segmentation

  • Author

    Kube, Paul

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1988
  • fDate
    5-9 Jun 1988
  • Firstpage
    100
  • Lastpage
    104
  • Abstract
    Marking boundaries in an image between regions that are differently textured depends on computing descriptions of the regions that show them to be differently textured. Many texture description functions have been introduced in the literature; however, the texture description problem has never been treated in full generality. The author proposed shift-invariant vector-valued piecewise continuous functions of bounded support on images as a general class of texture description functions, and consider approximating functions in this class with polynomials. He proves a theorem that relates the degree of such a polynomial description function to the statistical properties of textured regions it can discriminate, and discusses some implications of the theorem
  • Keywords
    picture processing; polynomials; picture processing; polynomials; shift-invariant operators; texture description functions; texture segmentation; Autocorrelation; Image edge detection; Image segmentation; Lattices; Pixel; Polynomials; Probability distribution; Remuneration; Statistical distributions; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-0862-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1988.196221
  • Filename
    196221