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

Mohammadreza Hosseini; Arcot Sowmya; Tomasz Bednarz

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Paper

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

Topics: Image Processing Methods; Medical Imaging and Diagnosis

In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOSTEC, 63-70, 2016 , Rome, Italy

Authors: Mohammadreza Hosseini ¹ ; Arcot Sowmya ¹ and Tomasz Bednarz ²

Affiliations: ¹ UNSW, Australia ; ² QUT, Australia

Keyword(s): Interactive, Chan-Vese, Random Walk, Energy Function.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Image Processing Methods ; Medical Imaging and Diagnosis

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.

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Paper citation in several formats:

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 (BIOSTEC 2016) - BIOIMAGING; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 63-70. DOI: 10.5220/0005685400630070

@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 (BIOSTEC 2016) - BIOIMAGING},
year={2016},
pages={63-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005685400630070},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOIMAGING
TI - Interactive Chan-Vese Approach with Random Walk for Medical Images Segmentation
SN - 978-989-758-170-0
IS - 2184-4305
AU - Hosseini, M.
AU - Sowmya, A.
AU - Bednarz, T.
PY - 2016
SP - 63
EP - 70
DO - 10.5220/0005685400630070
PB - SciTePress