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Visibility classification of rocks in piles
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.ORCID-id: 0000-0001-6186-7116
2008 (engelsk)Inngår i: 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, s. 207-213Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE Communications Society, 2008. s. 207-213
HSV kategori
Forskningsprogram
Industriell elektronik; Signalbehandling
Identifikatorer
URN: urn:nbn:se:ltu:diva-32909DOI: 10.1109/DICTA.2008.85Scopus ID: 2-s2.0-67549089899Lokal ID: 78fd9ec0-938a-11dd-a897-000ea68e967bISBN: 978-0-7695-3456-5 (tryckt)OAI: oai:DiVA.org:ltu-32909DiVA, id: diva2:1006143
Konferanse
Conference on Digital Image Computing) : 01/12/2008 - 03/12/2008
Merknad
Godkänd; 2008; Bibliografisk uppgift: Paper ID: 163; 20081006 (tobiasa)Tilgjengelig fra: 2016-09-30 Laget: 2016-09-30 Sist oppdatert: 2023-09-06bibliografisk kontrollert

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Andersson, TobiasThurley, Matthew

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