• DocumentCode
    1566462
  • Title

    Image Segmentation using Salient Points-Based Object Templates

  • Author

    Zhang, Haijun ; Goldman, S.A.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Washington Univ., St. Louis, MO, USA
  • fYear
    2006
  • Firstpage
    765
  • Lastpage
    768
  • Abstract
    Using prior knowledge about object(s) is greatly beneficial for accurate image segmentation. In this paper, we present an image segmentation method that performs segmentation using a set of user provided object templates. For the object templates, we call the salient points in the object the characteristic points of the object. Based on the correspondence between the salient points of an arbitrary image and the characteristic points of the objects, object templates are mapped onto the image as bit masks. All templates for the same object are combined to generate the final object/background segmentation. Experiments show that this method can create good segmentations.
  • Keywords
    image matching; image segmentation; image mapping; image segmentation; salient points-based object template; Active shape model; Computer science; Deformable models; Detectors; Humans; Image segmentation; Knowledge engineering; Object detection; Pixel; Wavelet coefficients; Image segmentation; affine transformation; salient point; template-based segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312424
  • Filename
    4106642