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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
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 November 7, 2025)