Liver Vessel Segmentation Algorithm Based on Fuzzy Enhance and Hessian Matrix

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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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  -