A Novel Integration Scheme Based on Mean Shift and Region-Scalable Fitting Level Set for Medical Image Segmentation
- 10.2991/icmmita-15.2015.70How to use a DOI?
- Medical Image Segemntation; Mean Shift; Level Set; Integration Scheme
In this study, a novel integration scheme for coupling the results of mean shift with initial contours of the region-scalable fitting level set method (RSF model) is presented. There are two main contributions in the study. First, a new adaptive threshold formula to fit dynamic range of the mean shift clustering results is proposed. Second, a double-side mapping mode is presented to improve the robustness of initialization. Experimental results demonstrate the adaptability and robustness of the proposed method, and accurate segmentation could be obtained for medical images.
- © 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 - PeiRui Bai AU - Dandan Song AU - Lijun Bi AU - Lei Li AU - Tao Qi PY - 2015/11 DA - 2015/11 TI - A Novel Integration Scheme Based on Mean Shift and Region-Scalable Fitting Level Set for Medical Image Segmentation BT - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 357 EP - 365 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-15.2015.70 DO - 10.2991/icmmita-15.2015.70 ID - Bai2015/11 ER -