Image editing in the contour domain

被引:20
作者
Elder, JH [1 ]
Goldberg, RM [1 ]
机构
[1] York Univ, Ctr Vis Res, CRESTech, Human Performance Lab,Dept Psychol, Toronto, ON M3J 1P3, Canada
来源
1998 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS | 1998年
关键词
D O I
10.1109/CVPR.1998.698633
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Image editing systems are essentially pixel-based In this paper rue 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 recent work showing that a.grey-scale image can be accurately represented by its edge map if a.suitable edge model and scale selection method are employed [1]. In particular, an efficient algorithm has been reported to invert such an edge representation to yield a high-fidelity reconstruction of the original image [2]. We have 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 lead to substantial improvements in the efficiency of certain classes of image editing operations.
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页码:374 / 381
页数:8
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