Sammanfattning

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

Publicerad i

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

Konferens

ICPR 2010

SLU författare

• Lindblad, Joakim

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Skogsvetenskap


Publikationens identifierare

DOI: https://doi.org/10.1109/ICPR.2010.1116

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/31861