• DocumentCode
    1455319
  • Title

    Image editing in the contour domain

  • Author

    Elder, James H. ; Goldberg, Richard M.

  • Author_Institution
    Dept. of Psychol., York Univ., Toronto, Ont., Canada
  • Volume
    23
  • Issue
    3
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    291
  • Lastpage
    296
  • Abstract
    We propose a novel method for image editing in which the primitive working unit is not a pixel but an edge. The feasibility of this proposal is suggested by the recent work of Elder et al. (1998) showing that a gray-scale image can be accurately represented by its edge map if a suitable edge model and scale selection method are employed. In particular, an efficient algorithm has been reported by Elder et al. (1996) and Elder (1999) to invert such an edge representation to yield a high-fidelity reconstruction of the original image. We combined these algorithms together with an efficient method for contour grouping and an intuitive user interface to allow users to perform image editing operations directly in the contour domain. Experimental results suggest that this novel combination of vision algorithms may increase the efficiency of certain classes of image editing operations
  • Keywords
    computer vision; edge detection; image reconstruction; image representation; image segmentation; user interfaces; contour domain; contour grouping; edge model; edge representation; gray-scale image; image editing; image reconstruction; image segmentation; scale selection; user interface; Computer vision; Crops; Gray-scale; Humans; Image edge detection; Image reconstruction; Image segmentation; Pixel; Proposals; User interfaces;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.910881
  • Filename
    910881