The liver CT image sequence segmentation based on region growing
- 10.2991/icaemt-15.2015.110How to use a DOI?
- The liver image sequences; Region growing method; Expansion and corrosion; The liver image segmentation
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, 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.
- © 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 - 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 -