A simple method of rapid and automatic color image segmentation for serialized Visible Human slices

Liu, Bin; Li, Haojie; Jia, Xianyong; Xu, Zhao‐Dong; Liu, Zhaoliang; Qu, Zhao; Zhang, Hanwei

doi:10.1016/j.compeleceng.2013.05.006

Cited by 2 publications

(1 citation statement)

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“…The segmentation of human body structures with red, green and blue (RGB) images has been the subject of research in several works (Schiemann et al, 1997;Pommert et al, 2001;Flores and Schmitt 2005;Liu et al, 2014) associated with the Visible Human Project (VHP) (http://www.nlm.nih.gov/research/visible/ animations.html) (Spitzer et al, 1996;Park et al, 2006;Zhang et al, 2006). Other methods, such as RGB cryosections (i.e.…”

Section: Introductionmentioning

confidence: 99%

A topological multilayer model of the human body

et al. 2015

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Geographical information systems deal with spatial databases in which topological models are described with alphanumeric information. Its graphical interfaces implement the multilayer concept and provide powerful interaction tools. In this study, we apply these concepts to the human body creating a representation that would allow an interactive, precise, and detailed anatomical study. A vector surface component of the human body is built using a three-dimensional (3-D) reconstruction methodology. This multilayer concept is implemented by associating raster components with the corresponding vector surfaces, which include neighbourhood topology enabling spatial analysis. A root mean square error of 0.18 mm validated the threedimensional reconstruction technique of internal anatomical structures. The expansion of the identification and the development of a neighbourhood analysis function are the new tools provided in this model.

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