• DocumentCode
    2648208
  • Title

    Feature based hierarchical shape matching

  • Author

    Maeder, A.J.

  • Author_Institution
    Sch. of Electr. & Electron Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld.
  • fYear
    1994
  • fDate
    29 Nov-2 Dec 1994
  • Firstpage
    342
  • Lastpage
    346
  • Abstract
    A technique for matching 2D regions in digital images using shape signatures is described. Successive derived signatures at varying resolutions are produced first, in which major shape feature information for the region being represented is preserved. Correspondences between the shape features for two different regions are established using a pair of derived signatures of similar resolution. A featural error sum is then computed to provide a measure of dissimilarity between the regions. Coarse resolution versions of candidate regions are compared first to allow unlikely cases to be rejected rapidly and then refined versions of the remaining cases are considered. Some experimental results for leaf outline data are presented and compared with those obtained when only the original signatures are considered
  • Keywords
    feature extraction; image matching; image segmentation; 2D region matching; candidate regions; coarse resolution versions; digital images; dissimilarity measure; featural error sum; feature based hierarchical shape matching; leaf outline data; refined versions; represented region; shape feature information; shape signatures; successive derived signatures; Area measurement; Australia; Digital images; Image coding; Image processing; Layout; Length measurement; Rotation measurement; Shape measurement; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    0-7803-2404-8
  • Type

    conf

  • DOI
    10.1109/ANZIIS.1994.396985
  • Filename
    396985