Low Level Statistical Models for Initialization of Interactive 2D/3D Segmentation Algorithms

Jan Kolomazník, Jan Horáček, Josef Pelikán

2015

Abstract

In this paper we present two models which are suitable for interactive segmentation algorithms to decrease amount of user work. Models are used during initialization step and do not increase complexity of segmentation algorithms. Model describe spatial distribution of image values and classification as either foreground or background. Second part of the model is vector field which constrains direction of boundary normals. We show how to use these models in parametric snakes/surfaces framework and minimal graph-cut based segmentation.

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Paper Citation


in Harvard Style

Kolomazník J., Horáček J. and Pelikán J. (2015). Low Level Statistical Models for Initialization of Interactive 2D/3D Segmentation Algorithms . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 686-692. DOI: 10.5220/0005361506860692


in Bibtex Style

@conference{visapp15,
author={Jan Kolomazník and Jan Horáček and Josef Pelikán},
title={Low Level Statistical Models for Initialization of Interactive 2D/3D Segmentation Algorithms},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={686-692},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005361506860692},
isbn={978-989-758-089-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Low Level Statistical Models for Initialization of Interactive 2D/3D Segmentation Algorithms
SN - 978-989-758-089-5
AU - Kolomazník J.
AU - Horáček J.
AU - Pelikán J.
PY - 2015
SP - 686
EP - 692
DO - 10.5220/0005361506860692