Interactive Chan-Vese Approach with Random Walk for Medical Images Segmentation

Mohammadreza Hosseini, Arcot Sowmya, Tomasz Bednarz

2016

Abstract

In this paper, we present a novel interactive variational approach to image segmentation within a Chan-Vese framework. We propose a parameterized energy function that can be modified based on user input, and also incorporate in it a probabilistic term that defines reachability of a pixel from a user-selected `internal’ object pixel. The proposed approach shows promising improvement over automatic segmentation methods when applied to medical images.

Paper Citation

in Harvard Style

Hosseini M., Sowmya A. and Bednarz T. (2016). Interactive Chan-Vese Approach with Random Walk for Medical Images Segmentation . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 63-70. DOI: 10.5220/0005685400630070

in Bibtex Style

@conference{bioimaging16,
author={Mohammadreza Hosseini and Arcot Sowmya and Tomasz Bednarz},
title={Interactive Chan-Vese Approach with Random Walk for Medical Images Segmentation},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2016)},
year={2016},
pages={63-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005685400630070},
isbn={978-989-758-170-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, (BIOSTEC 2016)
TI - Interactive Chan-Vese Approach with Random Walk for Medical Images Segmentation
SN - 978-989-758-170-0
AU - Hosseini M.
AU - Sowmya A.
AU - Bednarz T.
PY - 2016
SP - 63
EP - 70
DO - 10.5220/0005685400630070