BOUNDARY POINT DETECTION FOR ULTRASOUND IMAGE SEGMENTATION USING GUMBEL DISTRIBUTIONS

Brian Booth, Xiaobo Li

Abstract

Due to high noise, low contrast, and other imaging artifacts, region boundaries in ultrasound images often do not conform to the assumptions of many image processing algorithms. Specifically, the beliefs that region boundaries have a high gradient magnitude or a high intensity can break down in this context. In this paper, we present an alternative way of detecting likely boundary points in ultrasound images by decomposing the image into one-dimensional intensity scans. These intensity scans, mimicking traditional A-Mode ultrasound, are modeled using Gumbel distributions. Results show that the relationship between the modes of these distributions and regions boundaries is relatively strong.

References

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Paper Citation


in Harvard Style

Booth B. and Li X. (2007). BOUNDARY POINT DETECTION FOR ULTRASOUND IMAGE SEGMENTATION USING GUMBEL DISTRIBUTIONS . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 175-179. DOI: 10.5220/0002138701750179


in Bibtex Style

@conference{sigmap07,
author={Brian Booth and Xiaobo Li},
title={BOUNDARY POINT DETECTION FOR ULTRASOUND IMAGE SEGMENTATION USING GUMBEL DISTRIBUTIONS},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={175-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002138701750179},
isbn={978-989-8111-13-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - BOUNDARY POINT DETECTION FOR ULTRASOUND IMAGE SEGMENTATION USING GUMBEL DISTRIBUTIONS
SN - 978-989-8111-13-5
AU - Booth B.
AU - Li X.
PY - 2007
SP - 175
EP - 179
DO - 10.5220/0002138701750179