The liver CT image sequence segmentation based on region growing

DOI

10.2991/icaemt-15.2015.110How to use a DOI?

Keywords

The liver image sequences; Region growing method; Expansion and corrosion; The liver image segmentation

Abstract

According to the serial correlation characteristics of liver CT images, in this paper, based on the morphology expansion and corrosion method, we put forward a liver CT sequence image segmentation method based on region growing algorithm. First conduct the smoothing denoising pretreatment to the sequence image[1], and then select an image, and the region growing algorithm was adopted to realize the liver parenchyma area division. We adopt expansion and corrosion to process the segmentation result. Later we take it as the seed point of the next image. Finally we finish all the liver CT sequence image segmentation. Experimental results show that this method can effectively conduct the liver sequence image segmentation, and fill the empty after sequence segmentation, greatly reducing the user interaction.

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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TY  - CONF
AU  - Qiuyang Huang
AU  - Yongxiong Sun
AU  - Liping Huang
AU  - Pei Zhang
PY  - 2015/08
DA  - 2015/08
TI  - The liver CT image sequence segmentation based on region growing
BT  - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology
PB  - Atlantis Press
SP  - 572
EP  - 577
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaemt-15.2015.110
DO  - 10.2991/icaemt-15.2015.110
ID  - Huang2015/08
ER  -