Result 1 to 20 of 41 total
3D-coherence-enhancing diffusion filtering for matrix fields. (English)
Florack, Luc (ed.) et al., Mathematical methods for signal and image analysis and representation. Selected papers based on the presentations at the 3rd EURADOM workshop on locally adaptive filters in signal and image processing, Eindhoven, The Netherland, November 24‒26, 2008. New York, NY: Springer (ISBN 978-1-4471-2352-1/hbk; 978-1-4471-2353-8/ebook). Computational Imaging and Vision 41, 49-63 (2012).
1
Adaptive continuous-scale morphology for matrix fields. (English)
Int. J. Comput. Vis. 92, No. 2, 146-161 (2011).
2
On improving the efficiency of tensor voting (English)
IEEE Trans. Pattern Anal. Mach. Intell. 33, No. 11, 2215-2228 (2011).
3
io-port 05835336 Keller, Andreas;
Ludwig, Nicole;
Heisel, Sabrina;
Leidinger, Petra;
Andres, Claudia;
Steudel, Wolf-Ingo;
Huwer, Hanno;
Burgeth, Bernhard;
Hein, Matthias;
Weickert, Joachim
Large-scale antibody profiling of human blood sera: the future of molecular diagnosis. (English)
Inform. Spektrum 32, No. 4, 332-338 (2009).
4
Properties of higher order nonlinear diffusion filtering. (English)
J. Math. Imaging Vis. 35, No. 3, 208-226 (2009).
5
How to choose interpolation data in images. (English)
SIAM J. Appl. Math. 70, No. 1, 333-352 (2009).
6
PDE-based morphology for matrix fields: Numerical solution schemes. (English)
Aja-Fernández, Santiago (ed.) et al., Tensors in image processing and computer vision. London: Springer (ISBN 978-1-84882-298-6/hbk; 978-1-84882-299-3/ebook). Advances in Pattern Recognition, 125-150 (2009).
7
A directional Rouy-Tourin scheme for adaptive matrix-valued morphology. (English)
Wilkinson, Michael H. F. (ed.) et al., Mathematical morphology and its application to signal and image processing. 9th international symposium, ISMM 2009, Groningen, The Netherlands, August 24‒27, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03612-5/pbk). Lecture Notes in Computer Science 5720, 250-260 (2009).
8
PDE-driven adaptive morphology for matrix fields. (English)
Tai, Xue-Cheng (ed.) et al., Scale space and variational methods in computer vision. Second international conference, SSVM 2009, Voss, Norway, June 1‒5, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02255-5/pbk). Lecture Notes in Computer Science 5567, 247-258 (2009).
9
An operator algebraic inverse scale space method for symmetric matrix valued images. (English)
Laidlaw, David (ed.) et al., Visualization and processing of tensor fields. Advances and perspectives. Berlin: Springer (ISBN 978-3-540-88377-7/hbk; 978-3-540-88378-4/ebook). Mathematics and Visualization, 361-376 (2009).
10
Variational methods for denoising matrix fields. (English)
Laidlaw, David (ed.) et al., Visualization and processing of tensor fields. Advances and perspectives. Berlin: Springer (ISBN 978-3-540-88377-7/hbk; 978-3-540-88378-4/ebook). Mathematics and Visualization, 341-360 (2009).
11
A general structure tensor concept and coherence-enhancing diffusion filtering for matrix fields. (English)
Laidlaw, David (ed.) et al., Visualization and processing of tensor fields. Advances and perspectives. Berlin: Springer (ISBN 978-3-540-88377-7/hbk; 978-3-540-88378-4/ebook). Mathematics and Visualization, 305-323 (2009).
12
Properties of higher order nonlinear diffusion filtering (English)
Journal of Mathematical Imaging and Vision 35, No. 3, 208-226 (2009).
13
How to choose interpolation data in images (English)
SIAM Journal of Applied Mathematics 70, No. 1, 333-352 (2009).
14
PDE-driven adaptive morphology for matrix fields (English)
SSVM, 247-258 (2009).
15
A directional rouy-tourin scheme for adaptive matrix-valued morphology (English)
ISMM, 250-260 (2009).
16
A generic neighbourhood filtering framework for matrix fields. (English)
Forsyth, David (ed.) et al., Computer vision ‒ ECCV 2008. 10th European conference on computer vision, Marseille, France, October 12‒18, 2008. Proceedings, Part III. Berlin: Springer (ISBN 978-3-540-88689-1/pbk). Lecture Notes in Computer Science 5304, 521-532 (2008).
17
A generic neighbourhood filtering framework for matrix fields (English)
ECCV (3), 521-532 (2008).
18
Median and related local filters for tensor-valued images. (English)
Signal Process. 87, No. 2, 291-308 (2007).
19
Mathematical morphology for matrix fields induced by the Loewner ordering in higher dimensions. (English)
Signal Process. 87, No. 2, 277-290 (2007).
20
Result 1 to 20 of 41 total
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