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Visibility classification of rocks in piles
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6186-7116
2008 (English)In: Digital Image Computing: Techniques and Applications: DICTA 2008 ; [Conference on Digital Image Computing: Techniques and Applications] ; 1 - 3 December 2008, Canberra, Australia ; proceedings, IEEE Communications Society, 2008, 207-213 p.Conference paper, Published paper (Refereed)
Abstract [en]

Size measurement of rocks is usually performed by manual sampling and sieving techniques. Automatic on-line analysis of rock size based on image analysis techniques would allow non-invasive, frequent and consistent measurement. In practical measurement systems based on image analysis techniques, the surface of rock piles will be sampled and therefore contain overlapping rock fragments. It is critical to identify partially visible rock fragments for accurate size measurements. In this research, statistical classification methods are used to discriminate rocks on the surface of a pile between entirely visible and partially visible rocks. The feature visibility ratio is combined with commonly used 2D shape features to evaluate whether 2D shape features can improve classification accuracies to minimize overlapped particle error.

Place, publisher, year, edition, pages
IEEE Communications Society, 2008. 207-213 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing
Research subject
Industrial Electronics; Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-32909DOI: 10.1109/DICTA.2008.85Local ID: 78fd9ec0-938a-11dd-a897-000ea68e967bISBN: 978-0-7695-3456-5 (print)OAI: oai:DiVA.org:ltu-32909DiVA: diva2:1006143
Conference
Conference on Digital Image Computing) : 01/12/2008 - 03/12/2008
Note
Godkänd; 2008; Bibliografisk uppgift: Paper ID: 163; 20081006 (tobiasa)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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fulltext(133 kB)16 downloads
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Publisher's full texthttp://dicta2008.rsise.anu.edu.au/index.php

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