Ardeco:自动区域检测和转换

Grégory Lecot, B. Lévy
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引用次数: 103

摘要

本文提出了一种新的图像抽象算法Ardeco,用于将位图图像转换为矢量图形。给定一个位图图像,我们的算法自动计算最接近图像的向量原语和梯度集。此外,可以在用户选择的重要区域中生成更多的细节,这些区域可以通过眼动追踪数据定义,也可以通过用户绘制的重要性图来定义。我们的算法基于一种新的两级变分参数分割算法,最小化Mumford和Shah的能量,并在中间三角剖分上操作,很好地适应了图像的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ardeco: automatic region detection and conversion
We present Ardeco, a new algorithm for image abstraction and conversion from bitmap images into vector graphics. Given a bitmap image, our algorithm automatically computes the set of vector primitives and gradients that best approximates the image. In addition, more details can be generated in user-selected important regions, defined from eye-tracking data or from an importance map painted by the user. Our algorithm is based on a new two-level variational parametric segmentation algorithm, minimizing Mumford and Shah's energy and operating on an intermediate triangulation, well adapted to the features of the image.
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