结合空间变化平滑和交互式编辑与细化过程精确的对象轮廓

O. Ikeda, Byeong-Yong Kim, Qinglian Guo
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引用次数: 0

摘要

二维图像的物体轮廓在计算机图形学、多媒体设计和医学应用中具有重要意义。然而,当二维图像包含不准确的信息时,现有的自动轮廓方法很难得到清晰的边界。本文提出了一种将空间变平滑和交互式编辑与细化过程相结合的新算法来解决这一问题。通过空间变平滑,我们能够基于局部梯度变化和全局灰度信息提取边界轮廓。通过使用交互式编辑,我们能够选择与最初产生的路径相竞争的路径。这个版本是通过操纵梯度场来完成的。新算法提供了一种有效的方法来纠正原始图像中信息不准确可能造成的错误,并对原始图像中信息不足的局部区域输入所需的边界线进行轮廓处理。因此,我们的算法可以通过简单直观的操作提取更准确的物体轮廓。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate object outlining by combining space-variant smoothing and interactive editing with the thinning process
Outlining of objects for two-dimensional images is of great importance in computer graphics, multimedia design, and medical applications. It is however, difficult to get a clear boundary with the existing automatic outlining methods, when a two-dimensional image contains inaccurate information. Here, we present a new algorithm to solve the problem by combining space-variant smoothing and interactive editing with a thinning process. By performing space-variant smoothing, we are able to extract boundary outlines based on local gradient variation and global gray-scale information. By using interactive editing, we are able to pick up a competing path with the one initially produced. This edition is accomplished by manipulating the gradient field. The new algorithm provides an effective way to correct the potential mistakes caused by inaccurate information in original images, and to input desired boundary lines for some local areas where the original image does not contain enough information for the outlining process. As a result, our algorithm makes it possible to extract more accurate outlines of objects with simple and intuitive manipulations.
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