Machine vision monitoring and particle size feed analysis

Journal Title: Mining – Informatics, Automation and Electrical Engineering - Year 2018, Vol 533, Issue 1

Abstract

This paper presents selected problems related to the use of machine vision techniques for the analysis of particle size distribution. The basic steps and conditions for acquiring granular material images are described, followed by further processing and analysis methods. The advantages of 3-D image acquisition and processing have been compared to 2-D image analysis. Several possible areas of application related to the supervision of material transportation, optimization of mineral processing systems, and bulk density measurements have also been presented.

Authors and Affiliations

Adam Heyduk

Keywords

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  • EP ID EP395281
  • DOI 10.7494/miag.2018.1.533.7
  • Views 135
  • Downloads 0

How To Cite

Adam Heyduk (2018). Machine vision monitoring and particle size feed analysis. Mining – Informatics, Automation and Electrical Engineering, 533(1), 7-11. https://europub.co.uk/articles/-A-395281