De-noising of SRµCT Fiber Images by Total Variation Minimization
2010 (English)In: Proceedings of the 20th International Conference on Pattern Recognition (ICPR10), IEEE , 2010, 4621-4624 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE , 2010. 4621-4624 p.
Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Analysis
IdentifiersURN: urn:nbn:se:uu:diva-134651DOI: 10.1109/ICPR.2010.1116OAI: oai:DiVA.org:uu-134651DiVA: diva2:373501
20th International Conference on Pattern Recognition (ICPR10)