DocumentCode
3569086
Title
Polynomial pulp fiber modeling
Author
Huttunen, Heikki ; Oinonen, Hannu ; Selinummi, Jyrki ; Ruusuvuori, Pekka ; Voipio, Ville
Author_Institution
Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
fYear
2012
Firstpage
2099
Lastpage
2103
Abstract
This paper proposes an automatic measurement algorithm for calculating statistics of pulp fiber lengths and curvature. The fibers are extracted from digital images, and a parametric model is fit to the extracted objects. The modeling approach improves the robustness of the detection and enables connecting broken fiber parts into full length curves. The developed algorithm is compared to an alternative method, and concluded to yield similar results while providing additional features, such as curvature estimates, of the detected fibers.
Keywords
image processing; natural fibres; paper industry; polynomials; production engineering computing; automatic measurement algorithm; broken fiber parts; curvature estimates; digital images; full length curves; parametric model; polynomial pulp fiber modeling; pulp fiber curvature; pulp fiber lengths; statistics; Histograms; Image segmentation; Manuals; Noise; Optical fiber testing; Polynomials; Skeleton; Fiber; Image Analysis; Image Modeling; Length Distribution; Pulp;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
ISSN
2219-5491
Print_ISBN
978-1-4673-1068-0
Type
conf
Filename
6334161
Link To Document