• DocumentCode
    2955250
  • Title

    Feature Detection from the Maximal Response to a Spherical Quadrature Filter Set

  • Author

    Marchant, Roman ; Jackway, Paul

  • fYear
    2012
  • fDate
    3-5 Dec. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we describe a novel method of feature detection and classification using the maximal response of a set of spherical quadrature filters to either a line-segment or wedge-segment signal type. This is achieved via a rotation and illumination invariant distance function. The development of the method is described, and some experimental results are provided to demonstrate the usefulness of the technique.
  • Keywords
    feature extraction; filtering theory; image classification; lighting; feature classification; feature detection; illumination invariant distance function; line-segment signal type; maximal response; rotation invariant distance function; spherical quadrature filter set; wedge-segment signal type; Band pass filters; Estimation; Feature extraction; Image edge detection; Kernel; Transforms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing Techniques and Applications (DICTA), 2012 International Conference on
  • Conference_Location
    Fremantle, WA
  • Print_ISBN
    978-1-4673-2180-8
  • Electronic_ISBN
    978-1-4673-2179-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2012.6411715
  • Filename
    6411715
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2955250