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/).
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 -