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A machine vision system for estimation of size distributions by weight of limestone particles during ship loading
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6186-7116
2012 (English)In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 25, no 1, p. 38-46Article in journal (Refereed) Published
Abstract [en]

The size distribution as a function of weight of particles is an important measure of product quality in the mining and aggregates industries. When using manual sampling and sieving, the weight of particles is readily available. However, when using a machine vision system, the particle size distributions are determined as a function of the number of particles. In this paper we first show that there can be a significant weight-transformation error when transforming from one type of size distribution to another. We also show how the problem can be overcome by training a classifier and scaling the results according to calibrated average weights of rocks. The performance of the algorithm is demonstrated with results of measurements of limestone particles on conveyor belts.

Place, publisher, year, edition, pages
2012. Vol. 25, no 1, p. 38-46
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-16157DOI: 10.1016/j.mineng.2011.10.001ISI: 000298779800005Scopus ID: 2-s2.0-81855164881Local ID: fc050930-f75a-11df-8b95-000ea68e967bOAI: oai:DiVA.org:ltu-16157DiVA, id: diva2:989133
Projects
Fragmentation Measurement of Bulk Material on Conveyor using 3D Vision, Vision Systems Research Platform
Note
Validerad; 2012; 20101124 (tobiasa)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Andersson, TobiasThurley, MatthewCarlson, Johan E.

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