Literature DB >> 22499627

Three-dimensional skeletonization: principle and algorithm.

S Lobregt1, P W Verbeek, F C Groen.   

Abstract

An algorithm is proposed for skeletonization of 3-D images. The criterion to preserve connectivity is given in two versions: global and local. The latter allows local decisions in the erosion process. A table of the decisions for all possible configurations is given in this paper. The algorithm using this table can be directly implemented both on general purpose computers and on dedicated machinery.

Year:  1980        PMID: 22499627     DOI: 10.1109/tpami.1980.4766974

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  4 in total

1.  Accuracy of microvascular measurements obtained from micro-CT images.

Authors:  Timothy L Kline; Mair Zamir; Erik L Ritman
Journal:  Ann Biomed Eng       Date:  2010-05-11       Impact factor: 3.934

2.  RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.

Authors:  Robail Yasrab; Jonathan A Atkinson; Darren M Wells; Andrew P French; Tony P Pridmore; Michael P Pound
Journal:  Gigascience       Date:  2019-11-01       Impact factor: 6.524

3.  Automation process for morphometric analysis of volumetric CT data from pulmonary vasculature in rats.

Authors:  Rahul Shingrani; Gary Krenz; Robert Molthen
Journal:  Comput Methods Programs Biomed       Date:  2009-08-26       Impact factor: 5.428

4.  Three-dimensional characterizations of two-photon excitation fluorescence images of elastic fibers affected by cutaneous scar duration.

Authors:  Yongping Lin; Hongxin Lin; Xiaoqin Zhu; Guannan Chen
Journal:  Quant Imaging Med Surg       Date:  2021-08
  4 in total

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