An object extraction method using sampled active contour model
An object extraction method using sampled active contour model
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一种利用采样主动轮廓模型的目标提取方法
DOI：
10.1002/scj.4690261307
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
H. Kinoshita
中科院分区：
文献类型：
--
作者：
M. Hashimoto;Y. Sakai;H. Kinoshita
本文提出了一种基于活动轮廓模型的轮廓提取方法。主动轮廓模型，如蛇，是基于能量最小化，这需要大量的计算时间。在该方法中，主动轮廓模型由采样轮廓点组成，每个采样轮廓点受到垂直于轮廓的压力、相邻边界点之间的吸引力和边缘的排斥力的引导和平行移动。由于每个轮廓点是独立的合力引导，所提出的方法具有以下特点：噪声容忍，并行执行和低计算成本。对真实的图像的实验结果表明了该方法的有效性。
This paper proposes a new method of contour extraction using active contour models for the purpose of image structuring. Active Contour Models, such as snakes, are based on energy minimization, which takes a great deal of computational time. In the proposed method, the active contour models consist of sampled contour points, and each sampled contour point is guided and moves in parallel by pressure exerted perpendicularly to the contour, attraction between neighbor boundary points, and repulsion from edge. Since each contour point is independently guided by a resultant force, the proposed method has the following characteristics : noise tolerance ; parallel execution ; and low computational cost. Experimental results on real pictures show the effectiveness of this method.