CT Image Segmentation Algorithm Based on Merging of Similar Adjacent Components

DOI

10.2991/csece-18.2018.39How to use a DOI?

Keywords

CT images; adjacent components; image segmentation

Abstract

CT is one of the most widely used medical imaging techniques. Image segmentation is of great significance to medical image aided clinical diagnosis. Due to the complexity of structure and shape of CT image, and the inhomogeneity of organization, the commonly used image segmentation algorithm can not meet the requirements. Therefore, a CT image segmentation algorithm based on similarity criterion of adjacent components is proposed in this paper. The component tree is built quickly for the CT image, and the component tree protocol is carried out according to the attribute similarity criterion of adjacent components to complete the segmentation target. The experimental results show that the segmentation results are more accurate and more efficient.

Copyright

© 2018, 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  - Xueguang Sun
AU  - Weigen Qiu
PY  - 2018/02
DA  - 2018/02
TI  - CT Image Segmentation Algorithm Based on Merging of Similar Adjacent Components
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 183
EP  - 186
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.39
DO  - 10.2991/csece-18.2018.39
ID  - Sun2018/02
ER  -