Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5567)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): SSVM: International Conference on Scale Space and Variational Methods in Computer Vision
Conference proceedings info: SSVM 2009.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsThis is a preview of subscription content, access via your institution.
Table of contents (71 papers)
-
Front Matter
-
Segmentation and Detection
About this book
Keywords
- algorithms
- anisotropic smoothin
- computational geometry
- curvelets
- dejittering
- denoising
- filtering
- finsler geometry
- image restoration
- image segmentation
- level set segmentation
- noise removal
- optical nanoscopy
- statistics
- wiener filter
Editors and Affiliations
-
Department of Mathematics, University of Bergen, Bergen, Norway
Xue-Cheng Tai
-
Department of Informatics and Centre of Mathematics for Applications, University of Oslo, Oslo, Norway
Knut Mørken
-
Simula Research Laboratory, Lysaker, Norway
Marius Lysaker
-
SINTEF ICT, Oslo, Norway
Knut-Andreas Lie
Bibliographic Information
Book Title: Scale Space and Variational Methods in Computer Vision
Book Subtitle: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings
Editors: Xue-Cheng Tai, Knut Mørken, Marius Lysaker, Knut-Andreas Lie
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-02256-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-642-02255-5Published: 25 May 2009
eBook ISBN: 978-3-642-02256-2Published: 24 May 2009
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 870
Topics: Computer Vision, Programming Techniques, Data Mining and Knowledge Discovery, Computer Graphics, Computer Imaging, Vision, Pattern Recognition and Graphics, Automated Pattern Recognition