Efficient automatic noise reduction of electron tomographic reconstructions based on iterative median filtering
Efficient automatic noise reduction of electron tomographic reconstructions based on iterative median filtering
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DOI：
10.1016/j.jsb.2006.10.030
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发表时间：
2007-05-01
影响因子：
3
通讯作者：
Volkmann, Niels
中科院分区：
文献类型：
--
作者：
van der Heide, Peter;Xu, Xiao-Ping;Volkmann, Niels
提出了一种简单、快速、有效的生物材料三维电子层析成像降噪方法。该方法基于中值滤波的迭代应用，并有望作为自动数据分析工具的预处理器进行自动降噪，该工具旨在分割、特征提取和模式识别。该算法的应用产生了令人鼓舞的结果，各种各样的实验和合成电子断层重建。(c)2006爱思唯尔公司All rights reserved.
A simple, fast and efficient noise-reduction protocol for three-dimensional electron tomographic reconstructions of biological material is presented. The approach is based on iterative application of median filtering and shows promise for automatic noise reduction as a preprocessor for automated data analysis tools which aim at segmentation, feature extraction and pattern recognition. The application of this algorithm produces encouraging results for a wide variety of experimental and synthetic electron tomographic reconstructions. (c) 2006 Elsevier Inc. All rights reserved.