Title
Image filtering using anisotropic structure tensor for cell membrane enhancement in 3D microscopy
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.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6115880
Image Processing
Keywords
Field
DocType
filtering theory,image enhancement,image intensifiers,membranes,2D planar structures,3D microscopy,anisotropic PDE-based approach,anisotropic structure tensor,cell membrane,contrast enhancement,image filtering,intensity discontinuities,noise reduction,orientation discontinuities,orientation information,spatial information,PDE-based diffusion,anisotropic tensor,biological imaging,cell membranes
Noise reduction,Computer vision,Classification of discontinuities,Anisotropy,Tensor,Computer science,Filter (signal processing),Stress (mechanics),Planar,Structure tensor,Artificial intelligence
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4577-1302-6
978-1-4577-1302-6
5
PageRank 
References 
Authors
0.48
7
3
Name
Order
Citations
PageRank
Sorin Pop1273.02
Alexandre Dufour215511.39
Olivo-Marin, J.-C.3638.68