• DocumentCode
    2877860
  • Title

    Texture classification by multi-predicate local binary pattern operators

  • Author

    Topi, Maenpaa ; Matti, Pietikäinen ; Timo, Ojala

  • Author_Institution
    Dept. of Electr. Eng., Oulu Univ., Finland
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    939
  • Abstract
    This paper benchmarks the simple local binary pattern (LBP) approach in the supervised texture segmentation problems of the recent comparative study of Randen and Husoy (1999). A multi-predicate version of LBP is proposed, making our approach even more powerful for images containing textures at multiple scales
  • Keywords
    image classification; image segmentation; image texture; image texture; local binary pattern; multiple scale textures; multiple-predicate; texture classification; texture segmentation; Computational complexity; Data mining; Feature extraction; Filtering; Gabor filters; Histograms; Image segmentation; Image texture; Machine vision; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903699
  • Filename
    903699
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2877860