Bin Liu
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An Effective Segmentation Framework for Serialized Visible Human Slices Based on Adjacent Images Gradual Change
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Indexed by:期刊论文

Date of Publication:2016-11-01

Journal:JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS

Included Journals:SCIE、Scopus

Volume:6

Issue:7

Page Number:1754-1760

ISSN No.:2156-7018

Key Words:Visible Human; Color Image Segmentation; Serialized Slices; Skeleton Corner Points

Abstract:In order to obtain 3D models of the organs in Visible Human Project, in this paper, an improved sequential human body slice segmentation framework for Visible Human is proposed. Two main steps are included in this framework: First, a model based on color similarity is applied to distinguish neighboring pixels; Second, a solution on the basis of geometric feature points selecting is put forward to automatically find the seed points to segment the next slice. By this framework, color slice images of the Visible Human body can be segmented orderly with less human participation. In conclusion, the primary organs of the Visible Human can be obtained easily and precisely. Also, 3D models of these organs after 3D reconstruction are fine. Based on these 3D models obtained, many useful applications ( for example, virtual endoscopy) can be implemented. This segmentation framework can provide technical support for other related work.

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Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:软件学院、国际信息与软件学院

Discipline:Software Engineering. Computer Applied Technology

Business Address:大连市经济技术开发区图强街321号大连理工大学开发区校区信息楼

Contact Information:laohubinbin@163.com

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