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Volume 20, Issue 1
  • ISSN: 1573-4056
  • E-ISSN: 1875-6603
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Abstract

Introduction

In this paper, a semiautomatic image segmentation method for the serialized body slices of the Visible Human Project (VHP) is proposed.

Methods

In our method, we first verified the effectiveness of the shared matting method for the VHP slices and utilized it to segment a single image. Then, to meet the need for the automatic segmentation of serialized slice images, a method based on the parallel refinement method and flood-fill method was designed. The ROI (region of interest) image of the next slice can be extracted by using the skeleton image of the ROI in the current slice.

Results

Utilizing this strategy, the color slice images of the Visible Human body can be continuously and serially segmented. This method is not complex but is rapid and automatic with less manual participation.

Conclusion

The experimental results show that the primary organs of the Visible Human body can be accurately extracted.

© 2024 The Author(s). Published by Bentham Open.
© 2024 The Author(s). Published by Bentham Open. This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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/content/journals/cmir/10.2174/1573405620666230515090618
2024-01-01
2024-11-22

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/content/journals/cmir/10.2174/1573405620666230515090618
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A Segmentation Method of Serialized Human Body Slices based on Matting Strategy and Skeleton Extraction
Curr. Med. Imaging 20, E150523216895 (2024); https://doi.org/10.2174/1573405620666230515090618
/content/journals/cmir/10.2174/1573405620666230515090618
/content/journals/cmir/10.2174/1573405620666230515090618
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  • Article Type:     Research Article
Keyword(s): Data; Image matting; Organ extraction; ROI; Serialized segmentation; Visible human

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