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
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;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Print_ISBN :
978-1-4673-1068-0