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Colour speck counter for assessing the dirt level in secondary fibre pulps
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0003-2185-8973
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Center of Excellence, Holmen Paper AB, Norrkoping, Sweden.
2003 (English)In: Journal of Pulp and Paper Science (JPPS), ISSN 0826-6220, Vol. 29, no 7, p. 220-224Article in journal (Refereed) Published
Abstract [en]

Speck count is increasingly used as a parameter to assess the quality of secondary fibre pulps. The resolution of most of the commercial image analysis systems is too low for detecting small specks. Therefore, small specks are not taken into consideration when using conventional image analysis systems to assess pulp quality. We have recently developed a colour speck counter which can detect specks ranging in size from ∼5 to 300 μm. In this paper, we present the results of experimental investigations related to the use of the speck counter to assess the dirt level in secondary fibre pulps. We assume an exponential speck size distribution and advocate the idea of using the scale parameter λ of the distribution to characterize the size content of a set of specks detected. Experimental investigations performed have shown that the scale parameter, together with the expected speck area and the speck number, can be used to characterize and rank secondary fibre pulps according to dirt level and the dirt-size distribution.

Place, publisher, year, edition, pages
Montreal: Pulp and Paper Technical Association of Canada , 2003. Vol. 29, no 7, p. 220-224
Keywords [en]
Dirt count, Machine design, Image analysis, Measuring instruments, Reclaimed fibers
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-217ISI: 000185031700002Scopus ID: 2-s2.0-0142059189Local ID: 2082/512OAI: oai:DiVA.org:hh-217DiVA, id: diva2:237395
Available from: 2006-11-24 Created: 2006-11-24 Last updated: 2018-03-23Bibliographically approved

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Verikas, AntanasBergman, Lars

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Citation style
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