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Automated image segmentation and analysis of rock piles in an open-pit mine
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6186-7116
2014 (English)In: 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2013): Hobart, Australia, 26-28 Nov. 2013, Piscataway, NJ: IEEE Communications Society, 2014, 6691484Conference paper, Published paper (Refereed)
Abstract [en]

Measurement and image analysis of 3D surface profiledata of blasted rock piles in an open-pit mine are presented.A proof-of-concept/demonstration project into determining thesize distribution of the visible rocks on the pile was performed.The results demonstrate the capacity to collect high resolution3D surface profile data using a high-end two-axis scanning laserrange-finder. Furthermore, automated image analysis was appliedto this data to identify and size the rocks on the pile. Areas ofvery fine particles, too small to individually detect, are able to bedetected and classified as areas-of-fines. Detection of these areasof-fines is extremely important as the amount of fine material isa key factor in evaluating blasting outcomes. The algorithms toperform this segmentation and classification analysis are outlinedand results are shown in the form of images and sizing graphs

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. 6691484
Keyword [en]
Information technology - Signal processing
Keyword [sv]
Informationsteknik - Signalbehandling
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-37501DOI: 10.1109/DICTA.2013.6691484Local ID: b8c6766a-f345-43a8-b3dc-a569eeba5296ISBN: 9781479921263 (print)OAI: oai:DiVA.org:ltu-37501DiVA: diva2:1010999
Conference
International Conference on Digital Image Computing: Techniques and Applications : 26/11/2013 - 28/11/2013
Projects
VSB - Vision Systems Business Development Platform
Note
Godkänd; 2014; 20130917 (mjt)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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