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
Link To Document :
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