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Image Analysis in Paper Manufacturing

Published

Author(s)

Russell A. Kirsch, 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

Keywords

image processing, pattern recognition

Citation

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 April 18, 2024)
Created December 31, 1976, Updated October 12, 2021