Measuring the quality of fines by machine vision

Pia Kemppainen-Kajola; Juhani P. Hirvonen; Jyrki Laitinen; Kari Luukko; Markku Kansakoski

doi:10.1117/12.250790

18 September 1996 Measuring the quality of fines by machine vision

Pia Kemppainen-Kajola, Juhani P. Hirvonen, Jyrki Laitinen, Kari Luukko, Markku Kansakoski

Proceedings Volume 2782, Optical Inspection and Micromeasurements; (1996) https://doi.org/10.1117/12.250790
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France

Abstract

Fines are defined as the part of mechanical pulp which has lost its fiber like state. It is considered as an important fraction of the raw material, because it improves paper web properties, e.g. tensile strength and opacity. Our machine vision based measuring system is one of the first approaches to measure the fines fraction properties directly. Since a sample is imaged in flow, it is possible to collect a large quantity of images easily. The sample is then characterized by the statistics of its particle geometry.

Citation Download Citation

Pia Kemppainen-Kajola, Juhani P. Hirvonen, Jyrki Laitinen, Kari Luukko, and Markku Kansakoski "Measuring the quality of fines by machine vision", Proc. SPIE 2782, Optical Inspection and Micromeasurements, (18 September 1996); https://doi.org/10.1117/12.250790

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