Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

A Novel Integration Scheme Based on Mean Shift and Region-Scalable Fitting Level Set for Medical Image Segmentation

Authors
PeiRui Bai, Dandan Song, Lijun Bi, Lei Li, Tao Qi
Corresponding Author
PeiRui Bai
Available Online November 2015.
DOI
https://doi.org/10.2991/icmmita-15.2015.70How to use a DOI?
Keywords
Medical Image Segemntation; Mean Shift; Level Set; Integration Scheme
Abstract

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.

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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Volume Title
Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-120-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-15.2015.70How to use a DOI?
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  - 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  - https://doi.org/10.2991/icmmita-15.2015.70
ID  - Bai2015/11
ER  -