• DocumentCode
    2102178
  • Title

    Texture analysis based on local semicovers

  • Author

    Cuenca, S.A.

  • Author_Institution
    Dept. de Tecnologia Informatica y Computacion, Alicante Univ., Spain
  • fYear
    2003
  • fDate
    17-19 Sept. 2003
  • Firstpage
    588
  • Lastpage
    593
  • Abstract
    The paper presents a new efficient approach to texture analysis based on distributions of simple spatial and tonal relationships. The texture description proposed makes use of a semicover concept over binary planes derived from grey images. A measure of the local semicover tendency based on joint occurrences of elementary semicover patterns is described, and a computation simplification method is presented to reduce the computational cost. The method presents a reduced set of parameters that facilitates its optimization in different types of application. The performance of the method is evaluated by means of a comparative study, including other algorithms widely used in texture analysis. The results show a similar or superior performance to other more complex approaches.
  • Keywords
    image classification; image texture; optimisation; set theory; statistical distributions; binary planes; computational cost; grey images; local semicovers; optimization; semicover patterns; sets; spatial relationships; texture analysis; texture classification; tonal relationships; Algorithm design and analysis; Classification algorithms; Computational efficiency; Image analysis; Image texture analysis; Morphology; Optimization methods; Performance analysis; Pixel; Proposals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
  • Print_ISBN
    0-7695-1948-2
  • Type

    conf

  • DOI
    10.1109/ICIAP.2003.1234114
  • Filename
    1234114