Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications

Automatic elongated object segmentation in CT image using Stroke Width Transform and Levelset

Authors
Zhi-peng Pi, Zhi-ming Wang
Corresponding Author
Zhi-peng Pi
Available Online August 2015.
DOI
10.2991/meita-15.2015.130How to use a DOI?
Keywords
Stoke Width Transform; Elongated object; Levelset; Image segmentation
Abstract

In this paper, we propose a full-automatic algorithm for extracting elongated object from CT image. Given an input image, we use the SWT(Stroke Width Transform) and MM(Mathematical Morphology) to locate the coarse location of target. Thus leading to over-segmentation. In order to refine the segmentation result, Levelset method is applied to make the contour fit the object. Experimental results show that the proposed algorithm gives precise contour in elongated object segmentation.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-103-2
ISSN
2352-5401
DOI
10.2991/meita-15.2015.130How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhi-peng Pi
AU  - Zhi-ming Wang
PY  - 2015/08
DA  - 2015/08
TI  - Automatic elongated object segmentation in CT image using Stroke Width Transform and Levelset
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 713
EP  - 717
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.130
DO  - 10.2991/meita-15.2015.130
ID  - Pi2015/08
ER  -