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Authors: Farhang Sahba and Anastasios Venetsanopoulos

Affiliation: Ryerson University, Canada

Keyword(s): Mammography images, Mass detection, Mass segmentation, Bilateral filter, Mean shift, Computer-aided detection.

Related Ontology Subjects/Areas/Topics: Biometrics and Pattern Recognition ; Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Telecommunications

Abstract: This paper presents a new method for mass detection and segmentation in mammography images. The extraction of the breast border is the first step. A bilateral filter is then applied to the breast area to smooth the image while preserving the edges. Image pixels are subsequently clustered using an adaptive mean shift scheme that employs intensity information to extract a set of high density points in the feature space. Due to its non-parametric nature, adaptive mean shift algorithm can work effectively with non-convex regions resulting in suitable candidates for a reliable segmentation. The clustering is then followed by further stages involving mode fusion. An artificial neural network is also used to remove the false detected regions and recognize the real masses. The proposed method has been validated on standard database. The results show that this method detects and segments masses in mammography images effectively, making it useful for breast cancer detection systems.

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Paper citation in several formats:
Sahba, F. and Venetsanopoulos, A. (2010). BREAST MASS DETECTION USING BILATERAL FILTER AND MEAN SHIFT BASED CLUSTERING. In Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP; ISBN 978-989-8425-19-5, SciTePress, pages 88-93. DOI: 10.5220/0002997600880093

@conference{sigmap10,
author={Farhang Sahba. and Anastasios Venetsanopoulos.},
title={BREAST MASS DETECTION USING BILATERAL FILTER AND MEAN SHIFT BASED CLUSTERING},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP},
year={2010},
pages={88-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002997600880093},
isbn={978-989-8425-19-5},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP
TI - BREAST MASS DETECTION USING BILATERAL FILTER AND MEAN SHIFT BASED CLUSTERING
SN - 978-989-8425-19-5
AU - Sahba, F.
AU - Venetsanopoulos, A.
PY - 2010
SP - 88
EP - 93
DO - 10.5220/0002997600880093
PB - SciTePress