• DocumentCode
    3463380
  • Title

    Hierarchical Tree Structure Based 2D Shape Matching

  • Author

    Paradhi, Bhupesh P. ; Mahajan, Anjali ; Hingway, Shubhalaxmi

  • Author_Institution
    G.H. Raisoni Coll. of Eng., Nagpur, India
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    511
  • Lastpage
    514
  • Abstract
    This paper presents 2D shape matching technique using hierarchical tree structure extracted from shock graph that in turn extracted from the skeleton of the shape of interest. Object recognition and shape matching are important issues in the field of image processing. Extraction and application of skeleton of a shape is widely used in these fields. In this paper shape matching and retrieval is discussed, using one of the skeleton-based methods called "shock graphs". Missing parts and presence of occlusion in the shapes can not guarantee better results with older techniques. But by modifying and optimizing this "shock graph " method, results may improve significantly.
  • Keywords
    computer vision; feature extraction; graph theory; image matching; image retrieval; object recognition; tree data structures; 2D shape matching technique; computer vision; feature extraction; hierarchical tree structure; image processing; object recognition; shock graph method; skeleton-based method; Data mining; Electric shock; Image databases; Image recognition; Noise shaping; Object recognition; Shape; Skeleton; Tree data structures; Tree graphs; Skeleton; branch points in shape´s skeleton; hierarchical tree structure; tree matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.219
  • Filename
    5260867