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Conference paper2010Peer reviewed

De-noising of SRµCT Fiber Images by Total Variation Minimization

Lindblad, Joakim; Sladoje, Natasa; Lukic, Tibor


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 application

Published in

Proceedings - International Conference On Pattern Recognition
2010, pages: 4621-4624 Title: 2010 20th International Conference on Pattern Recognition
ISBN: 978-1-4244-7542-1
Publisher: The Institute of Electrical and Electronics Engineers, Inc.


ICPR 2010

      SLU Authors

    • Lindblad, Joakim

      • Centre for Image Analysis, Swedish University of Agricultural Sciences

      UKÄ Subject classification

      Forest Science

      Publication identifier


      Permanent link to this page (URI)