Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

Liver Vessel Segmentation Algorithm Based on Fuzzy Enhance and Hessian Matrix

Authors
Yue-jing QIAN
Corresponding Author
Yue-jing QIAN
Available Online May 2017.
DOI
10.2991/bbe-17.2017.86How to use a DOI?
Keywords
Hessian Matrix, Fuzzy Enhances, Blood Vessel Segmentation.
Abstract

This paper proposes a liver vessel segmentation algorithm based on fuzzy enhancement and Hessian matrix. First, a method with two steps based on the theory of fuzzy enhancement is proposed to enhance the liver image. The first enhancement step is to make the local changes in the image more obvious on the basis of fully retaining the image details. The second enhancement step is to enhance the edges by a sharpening parameter and a correction factor on the basis of the enhancement result gained by the first step, and so that the vessel areas in the image will be more obvious. Then the Hessian method is used to extract the vessel areas. Experiments show that the proposed method can segment the liver vessels accurately with a certain practicability and operability.

Copyright
© 2017, 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 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
Series
Advances in Biological Sciences Research
Publication Date
May 2017
ISBN
10.2991/bbe-17.2017.86
ISSN
2468-5747
DOI
10.2991/bbe-17.2017.86How to use a DOI?
Copyright
© 2017, 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  - Yue-jing QIAN
PY  - 2017/05
DA  - 2017/05
TI  - Liver Vessel Segmentation Algorithm Based on Fuzzy Enhance and Hessian Matrix
BT  - Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
PB  - Atlantis Press
SP  - 540
EP  - 545
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-17.2017.86
DO  - 10.2991/bbe-17.2017.86
ID  - QIAN2017/05
ER  -