Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Optimization potential for perception-oriented appearance classification by simulated sawing of computed tomography-scanned logs of Norway spruce
Forest Research Institute of Baden-Württemberg, 79100 Freiburg.
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Träteknik.
Forest Research Institute of Baden-Württemberg, 79100 Freiburg.
Institute of Forest Sciences, University of Freiburg.
2015 (engelsk)Inngår i: Wood Material Science & Engineering, ISSN 1748-0272, E-ISSN 1748-0280, Vol. 10, nr 4, s. 319-334Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Wood, as a natural material, has favourable properties in both technical and aesthetic aspects. Due to its inherent variability,production of high-quality sawn timber demands adequate control of log conversion, which is feasible with computedtomography (CT) log scanning. Existing appearance grading rules for sawn timber might not fully reflect people’s visualperception of wood surfaces, and therefore, an alternative, more perception-oriented appearance classification could bebeneficial. An appearance classification of sawn timber based on partial least squares discriminant analysis (PLS-DA) ofknot-pattern variables was developed and tested. Knot-pattern variables derived from images of board faces were used intraining PLS-DA models against an initial classification of the board faces previously established by aid of cluster analysis.Virtual board faces obtained from simulated breakdown of 57 CT-scanned Norway spruce logs were graded according tothe developed classification. Visual assessment of the grading results indicated that the classification was largely consistentwith human perception of board appearance. An initial estimation of the potential to optimize log rotation, based on CTdata, for the established appearance grades was derived from the simulations. Considerable potential to increase the yield ofa desired appearance grade, compared to conventional log positioning, was observed.

sted, utgiver, år, opplag, sider
2015. Vol. 10, nr 4, s. 319-334
Emneord [en]
Forestry, agricultural sciences and landscape planning - Wood fibre and forest products
Emneord [sv]
Log scanning, knots, sawing simulation, grading, partial least squares discriminant analysis, Skogs- och jordbruksvetenskap samt landskapsplanering - Träfiber- och virkeslära
HSV kategori
Forskningsprogram
Träteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-12074DOI: 10.1080/17480272.2014.977944ISI: 000368718400002Scopus ID: 2-s2.0-84945483990Lokal ID: b2099aed-7bad-4526-ac97-ab42c49eca15OAI: oai:DiVA.org:ltu-12074DiVA, id: diva2:985024
Merknad

Validerad; 2015; Nivå 1; 20141111 (olof)

Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-07-10bibliografisk kontrollert

Open Access i DiVA

fulltext(788 kB)161 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 788 kBChecksum SHA-512
f8efa49da94f15f7cf0f4dc77d4a1f3487545c7a0f703268884aa5eb1c852d7d14c1f561ab3ec35d4c76f7af28d3dc502aca523d22dfd03beeeb9586049aa731
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Broman, Olof

Søk i DiVA

Av forfatter/redaktør
Broman, Olof
Av organisasjonen
I samme tidsskrift
Wood Material Science & Engineering

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 161 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 311 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf