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Authors: Mathieu Bouyrie 1 ; Cristina Manfredotti 2 ; Nadine Peyriéras 3 and Antoine Cornuéjols 2

Affiliations: 1 AgroParisTech and BioEmergences Lab, France ; 2 AgroParisTech, France ; 3 BioEmergences Lab, France

ISBN: 978-989-758-173-1

Keyword(s): 3D Image Denoising, Biomedical Imaging, Mixed Poisson-Gaussian Noise, Isotropic Undecimated Wavelet Transform, Stabilizing Transform, Hypothesis Testing, Optimization Algorithm, Cell Detection.

Related Ontology Subjects/Areas/Topics: Convex Optimization ; Information Retrieval and Learning ; Pattern Recognition ; Sparsity ; Theory and Methods

Abstract: This paper presents a new multiscale method to denoise three-dimensional images of cell nuclei. The specificity of this method is its awareness of the noise distribution and object shapes. It combines a multiscale representation called Isotropic Undecimated Wavelet Transform (IUWT) with a nonlinear transform, a statistical test and a variational method, to retrieve spherical shapes in the image. Beyond extending an existing 2D approach to a 3D problem, our algorithm takes the sampling grid dimensions into account. We compare our method to the two algorithms from which it is derived on a representative image analysis task, and show that it is superior to both of them. It brings a slight improvement in the signal-to-noise ratio and a significant improvement in cell detection.

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Paper citation in several formats:
Bouyrie, M.; Manfredotti, C.; Peyriéras, N. and Cornuéjols, A. (2016). Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid.In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 291-298. DOI: 10.5220/0005706002910298

@conference{icpram16,
author={Mathieu Bouyrie. and Cristina Manfredotti. and Nadine Peyriéras. and Antoine Cornuéjols.},
title={Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={291-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005706002910298},
isbn={978-989-758-173-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid
SN - 978-989-758-173-1
AU - Bouyrie, M.
AU - Manfredotti, C.
AU - Peyriéras, N.
AU - Cornuéjols, A.
PY - 2016
SP - 291
EP - 298
DO - 10.5220/0005706002910298

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