Title:A Segmentation Method of Serialized Human Body Slices based on Matting
Strategy and Skeleton Extraction
Volume: 20
Author(s): Bin Liu, Zhengyang Wu, Chenlu Wang, Shiyu Pang, Jingzhu Pei, Jianxin Zhang*Liang Yang
Affiliation:
- School of Computer Science and Engineering, Dalian Minzu University, Dalian 116650, China
- Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian 116620, China
Keywords:
Visible human, Organ extraction, Image matting, Serialized segmentation, ROI, Data. Article
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.
