Image editing in the contour domain
Image editing in the contour domain
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DOI：
10.1109/34.910881
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发表时间：
2001-03-01
影响因子：
23.6
通讯作者：
Goldberg, RM
中科院分区：
文献类型：
--
作者：
Elder, JH;Goldberg, RM
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方法进行图像编辑，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，灰度图像可以通过其边缘图准确地表示[1]，这一建议的可行性。特别是，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[2]，[3]。我们已经结合了这些算法与一个有效的方法，轮廓分组和直观的用户界面，让用户直接在轮廓域中执行图像编辑操作（裁剪，粘贴，删除）。实验结果表明，这种新颖的视觉算法组合可以提高某些类别的图像编辑操作的效率。
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 gray-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], [3]. 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 (crop, paste, delete) 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.