Shape-simplifying Image Abstraction

被引:27
作者
Kang, Henry [1 ]
Lee, Seungyong [1 ]
机构
[1] Univ Missouri, St Louis, MO 63121 USA
关键词
D O I
10.1111/j.1467-8659.2008.01322.x
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper presents a simple algorithm for producing stylistic abstraction of a photograph. Based on mean curvature flow in conjunction with shock filter, our method simplifies both shapes and colors simultaneously while preserving important features. In particular, we develop a constrained mean curvature flow, which outperforms the original mean curvature flow in conveying the directionality of features and shape boundaries. The proposed algorithm is iterative and incremental, and therefore the level of abstraction is intuitively controlled. Optionally, simple user masking can be incorporated into the algorithm to selectively control the abstraction speed and to protect particular regions. Experimental results show that our method effectively produces highly abstract yet feature-preserving illustrations from photographs.
引用
收藏
页码:1773 / 1780
页数:8
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