Conference paper - Peer-reviewed, 2010
De-noising of SRµCT Fiber Images by Total Variation Minimization
Lindblad, Joakim; Sladoje, Natasa; Lukic, TiborAbstract
SRμCT images of paper and pulp fiber materials are characterized by a low signal to noise ratio. De-noising is therefore a common preprocessing step before segmentation into fiber and background components. We suggest a de-noising method based on total variation minimization using a modified Spectral Conjugate Gradient algorithm. Quantitative evaluation performed on synthetic 3D data and qualitative evaluation on real 3D paper fiber data confirm appropriateness of the suggested method for the particular applicationPublished in
Proceedings - International Conference On Pattern Recognition2010, pages: 4621-4624
Book title: 2010 20th International Conference on Pattern Recognition
ISBN: 978-1-4244-7542-1
Publisher: The Institute of Electrical and Electronics Engineers, Inc.
Conference
ICPR 2010Authors' information
Lindblad, Joakim
Swedish University of Agricultural Sciences, Centre for Image Analysis
Sladoje, Nataša
University of Novi Sad
Lukic, Tibor
University of Novi Sad
UKÄ Subject classification
Forest Science
Publication Identifiers
DOI: https://doi.org/10.1109/ICPR.2010.1116
URI (permanent link to this page)
https://res.slu.se/id/publ/31861