• DocumentCode
    2463088
  • Title

    A new set of multiscale texture features based on B-spline image approximation

  • Author

    Matalas, Ioannis

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    810
  • Abstract
    We propose a set of multiscale features for texture description. Image smoothing at multiple scales using the fast smoothing B-spline transform is performed and a number of features, such as the local area, the normal vector dispersion and the gradient orientation, are computed from each scale. Classification experiments with natural textures and comparison with other texture description methods prove the capabilities of the proposed features. Being effective even for small observation windows, these features are suitable for high-resolution texture segmentation
  • Keywords
    computer vision; feature extraction; image segmentation; image texture; smoothing methods; splines (mathematics); B-spline transform; computer vision; gradient orientation; image approximation; image smoothing; multiscale texture features; texture segmentation; vector dispersion; Biomedical imaging; Educational institutions; IIR filters; Layout; Linearity; Polynomials; Smoothing methods; Spline; Surface fitting; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.547188
  • Filename
    547188