A completely automatic segmentation method for breast ultrasound images using region growing
Juan Shan1, H.D. Cheng, Yuxuan Wang
1Utah State University
Available Online December 2008.
- 10.2991/jcis.2008.57How to use a DOI?
- Seed point selection, region growing, segmentation,
In this paper, we propose a fully automatic segmentation algorithm of masses on breast ultrasound images by using region growing technique. First, a seed point is selected automatically from the mass region based on both textural features and spatial features. Then, from the selected seed point, a region growing algorithm based on neutrosophic logic is implemented. The whole algorithm needs no manual intervention at all and is completely automatic. Experiment results show that the proposed segmentation algorithm is efficient in both selecting seed point and segmenting region of interests (ROIs).
- © 2008, 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 - Juan Shan AU - H.D. Cheng AU - Yuxuan Wang PY - 2008/12 DA - 2008/12 TI - A completely automatic segmentation method for breast ultrasound images using region growing BT - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 332 EP - 337 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.57 DO - 10.2991/jcis.2008.57 ID - Shan2008/12 ER -