• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    • Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Texture Descriptors via Stable Distributions

    Thumbnail
    View/Open
    85929_1.pdf (602.8Kb)
    Author(s)
    Khuwuthyakorn, P
    Robles-Kelly, A
    Zhou, J
    Griffith University Author(s)
    Zhou, Jun
    Year published
    2008
    Metadata
    Show full item record
    Abstract
    In this paper, we present a texture descriptor which hinges in the use of the local image statistics so as to recover a compact representation of the texture under study. To this end, here, we make use of stable distributions and their link to Fourier analysis so as to provide a means to compute in a computationally efficient manner a local texture descriptor. This link between stochastic processes and Fourier analysis provides an efficient means to compute texture spectra which can be interpreted as a probability distribution for purposes of recognition and analysis. Making use of our local descriptor, we provide a metric ...
    View more >
    In this paper, we present a texture descriptor which hinges in the use of the local image statistics so as to recover a compact representation of the texture under study. To this end, here, we make use of stable distributions and their link to Fourier analysis so as to provide a means to compute in a computationally efficient manner a local texture descriptor. This link between stochastic processes and Fourier analysis provides an efficient means to compute texture spectra which can be interpreted as a probability distribution for purposes of recognition and analysis. Making use of our local descriptor, we provide a metric between texture pairs that can be made devoid of rotations on the texture plane by recovering the optimal linear transformation via procrustes analysis. We demonstrate the utility of our descriptor and its associated metric on a database of real-world textures.
    View less >
    Conference Title
    Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008
    DOI
    https://doi.org/10.1109/DICTA.2008.93
    Copyright Statement
    © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Computer vision
    Publication URI
    http://hdl.handle.net/10072/51673
    Collection
    • Conference outputs

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander