Harmonic cut and regularized centroid transform for localization of subcellular structures
Harmonic cut and regularized centroid transform for localization of subcellular structures
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DOI：
10.1109/tbme.2003.809493
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发表时间：
2003-04-01
影响因子：
4.6
通讯作者：
Parvin, B
中科院分区：
文献类型：
--
作者：
Yang, Q;Parvin, B
提出了两种新的计算方法：谐波切割和正则质心变换，用于细胞及其相应子结构的分割。外延荧光显微镜。谐波切割检测对应于小的亚细胞结构的小区域。这些区域也会影响整体分割的准确性。它们被检测、删除和插值，以确保每个区域内的连续性。我们证明了在每个区域（亚细胞隔室）内的插值相当于在具有不规则边界的多连通域上求解拉普拉斯方程。第二种技术，称为正则化质心变换，旨在分离触摸区。这是通过对物体的形状采用二次模型并放松它来实现最终分割的。
Two novel computational techniques, harmonic cut and regularized centroid transform, are developed for segmentation of cells and their corresponding substructures observed with. an epi-fluorescence microscope. Harmonic cut detects small regions that correspond to small subcellular structures. These regions also affect the accuracy of the overall segmentation. They are detected, removed, and interpolated to, ensure continuity within each region. We show that interpolation within each region (subcellular compartment) is equivalent to solving the Laplace equation on a multi-connected domain with irregular boundaries. The second technique, referred to as the regularized centroid transform, aims to separate touching compartments. This is achieved by adopting a quadratic model for the shape of the object and relaxing it for final segmentation.