Kirsch, R.
and Graminski, E.
(1977),
Image Analysis in Paper Manufacturing, Proceedings of the IEEE Computer Soc. Conference on Pattern Recognition and Image Processing, , USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821706
(Accessed July 27, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Image Analysis in Paper Manufacturing
Published
Author(s)
, E Graminski
Abstract
Significant energy savings in the paper industry can result from characterization o f paper pulps by direct measurement of fiber morphology with automatic methods. We discuss the various fiber properties for which automatic image analysis applied to microscope images of pulps can yield savings of materials and energy. Computational algorithms applied to actual fiber data are shown to yield useful measurements for fiber length, curl , and potentially other properties. New fiber morphology measurement algorithms can include curl and length as special cases. Potentials for collaboration between the paper industry and the image analysis instrument industry are explored.Proceedings Title
Proceedings of the IEEE Computer Soc. Conference on Pattern Recognition and Image Processing
Conference Location
, USA
Pub Type
Conferences
Download Paper
Keywords
image processing, pattern recognition
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created December 31, 1976, Updated October 12, 2021