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Segmentation of muscles for 3D representation of acupoints

Authors: Lei, Zheng; Jing, Zhao; Tiange, Zhuang; Hongju, Liu; Juan, Bai; Zhenguo, Yan; Ulf, Tiede; +2 Authors

Segmentation of muscles for 3D representation of acupoints

Abstract

Based on the dataset of the male Visible Human and the VOXEL-MAN software, original work for 3D representation of acupoints and acupuncture treatment has been reported. To get a realistic model, segmentation is one of the most important procedures in the whole process. The interactive segmentation of objects on the basis of ellipsoidal regions in RGB-space greatly enhances the realism of 3D reconstructions of the Visible Human datasets. Furthermore, this article describes a double-ellipsoids method in RGB-space for the specific segmentation of muscles originally from our mass of work. The whole process can be interactively controlled by an operator via the tools developed by VOXEL-MAN. Some ideal results have been achieved in a short time.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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