Image editing in the contour domain
Image editing in the contour domain
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DOI：
10.1109/cvpr.1998.698633
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发表时间：
1998-06
期刊：
影响因子：
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通讯作者：
J. Elder;Richard M. Goldberg
中科院分区：
文献类型：
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作者：
J. Elder;Richard M. Goldberg
图像编辑系统本质上是基于像素的。在本文中，我们提出了一种新的图像编辑方法，其中的原始工作单位是不是一个像素，而是一个边缘。最近的工作表明，如果采用合适的边缘模型和尺度选择方法，灰度图像可以准确地表示其边缘图的建议，这一建议的可行性。特别地，已经报道了一种有效的算法来反转这样的边缘表示以产生原始图像的高保真度重建。我们已经结合这些算法与一个有效的方法轮廓分组和一个直观的用户界面，让用户直接在轮廓域中执行图像编辑操作。实验结果表明，这种新颖的视觉算法的组合可能会导致某些类别的图像编辑操作的效率大幅提高。
Image editing systems are essentially pixel-based. In this paper 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 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. In particular, an efficient algorithm has been reported to invert such an edge representation to yield a high-fidelity reconstruction of the original image. 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.