Segmentation of heterogeneous blob objects through voting and level set formulation
Segmentation of heterogeneous blob objects through voting and level set formulation
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DOI：
10.1016/j.patrec.2007.05.008
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发表时间：
2007-10-01
影响因子：
5.1
通讯作者：
Parvin, Bahram
中科院分区：
文献类型：
--
作者：
Chang, Hang;Yang, Qing;Parvin, Bahram
斑点状结构在自然界中经常出现，它们有助于提示和前注意过程。这些结构经常重叠，形成感知边界，并且在形状，大小和强度上是异质的。在本文中，投票，Voronoi镶嵌，水平集方法相结合，描绘斑点状结构。投票和随后的Voronoi曲面细分为每个斑点提供了初始条件和边界约束，而通过水平集公式的曲线演化提供了Voronoi区域内每个斑点的精细分割。本文的结论与应用所提出的方法产生的基于细胞的荧光分析和恒星数据的数据集。(c)2007 Elsevier B.V.保留所有权利。
Blob-like structures occur often in nature, where they aid in cueing and the pre-attentive process. These structures often overlap, form perceptual boundaries, and are heterogeneous in shape, size, and intensity. In this paper, voting, Voronoi tessellation, and level set methods are combined to delineate blob-like structures. Voting and subsequent Voronoi tessellation provide the initial condition and the boundary constraints for each blob, while curve evolution through level set formulation provides refined segmentation of each blob within the Voronoi region. The paper concludes with the application of the proposed method to a dataset produced from cell based fluorescence assays and stellar data. (c) 2007 Elsevier B.V. All rights reserved.