一种基于抠图策略和骨架提取的序列化人体切片分割方法。
A Segmentation Method of Serialized Human Body Slices Based on Matting Strategy and Skeleton Extraction.
作者信息
Liu Bin, Wu Zhengyang, Wang Chenlu, Pang Shiyu, Pei Jingzhu, Zhang Jianxin, Yang Liang
机构信息
International School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, 116620 China.
DUT-RU Co-Research Center of Advanced ICT for Active Life, Dalian University of Technology, Dalian, 116620 China.
出版信息
Curr Med Imaging. 2023 May 15. doi: 10.2174/1573405620666230515090618.
INTRODUCTION
In this paper, a semiautomatic image segmentation method for the serialized body slices of the Visible Human Project (VHP) is proposed.
METHOD
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.
RESULT
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.
引言
本文提出了一种针对可视人计划（VHP）序列化人体切片的半自动图像分割方法。
方法
在我们的方法中，我们首先验证了共享抠图方法对VHP切片的有效性，并利用它来分割单个图像。然后，为了满足序列化切片图像自动分割的需求，设计了一种基于并行细化方法和泛洪填充方法的方法。可以使用当前切片中感兴趣区域（ROI）的骨架图像来提取下一切片的ROI图像。
结果
利用该策略，可以对可视人体的彩色切片图像进行连续和序列化分割。该方法不复杂，但快速且自动，人工参与较少。
结论
实验结果表明，可以准确提取可视人体的主要器官。
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