NDLI: Image filtering using anisotropic structure tensor for cell membrane enhancement in 3D microscopy

Content Provider	IEEE Xplore Digital Library
Author	Pop, S. Dufour, A. Olivo-Marin, J.-C.
Copyright Year	2011
Description	Author affiliation: Institut Pasteur, Quantitative Image Analysis Unit and CNRS URA 2582, F-75015 Paris, France (Pop, S.; Dufour, A.; Olivo-Marin, J.-C.)
Abstract	Image filtering methods are crucial in a large number of applications where the relevant information is either noisy or partially missing. More particularly in 3D microscopy, cell membranes appear as structures of co-dimension 2, and suffer from discontinuities in intensity and orientation. Anisotropic PDE-based approaches offer an elegant solution to these problems, by integrating spatial and orientation information in a flexible and robust manner. In this work we propose a new tensor-based anisotropic model specifically adapted to 2D planar structures able to perform noise reduction and contrast enhancement simultaneously. Evaluation on synthetic and real data as well as comparison with previous works show that the model is well adapted for cell membrane structures.
Starting Page	2041
Ending Page	2044
File Size	822144
Page Count	4
File Format	PDF
ISBN	9781457713040
ISSN	15224880
e-ISBN	9781457713033
e-ISBN	9781457713026
DOI	10.1109/ICIP.2011.6115880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-11
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Biomembranes Filtering Eigenvalues and eigenfunctions Three dimensional displays Biological system modeling Adaptation models cell membranes PDE-based diffusion anisotropic tensor biological imaging
Content Type	Text
Resource Type	Article

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