Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The measurement of wood features in knotty Scots pine wood surfaces and the connections with people's preferences
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0002-3444-9194
2000 (English)In: Developments in image processing and scanning of wood: selected and edited papers from the 4th International Conference on Image Processing and Scanning of Wood, Mountain Lake, Virginia, USA, 21 - 23 August, 2000 / [ed] Earl D. Kline, Virginia Tech , 2000Conference paper, Published paper (Refereed)
Abstract [en]

For wood products that contain visible wood it is important to be able to describe the aesthetic properties desired, to measure and communicate them. The aim of this investigation was to shed light on the connections between people's preferences and the physical blend of wood features measured in digital images of Scots pine wood surfaces.  A total of 215 persons from Sweden with different backgrounds were interviewed regarding their preference for ten Scots pine wood surfaces containing knots. Their impressions and preferences were documented by a questionnaire. Many texture features (140 variables) were extracted from grayscale images of the wood surfaces and the connections with the preference data were modeled by partial least square analysis. Results from detail questions concerning what people thought about specific wood features were used as guidelines for the variable extraction. Prediction models for the preference questions were established and reported. For each prediction model, the 30 most robust wood feature variables were sorted out before the modeling. The results show that the wood feature variables varied in importance and all but one model was significant. The most important variables were those that detect different kinds of feature distribution over a wood surface and especially those variables that detect a deviation in center of gravity. The results illuminate the use of subjective preference data regarding the aesthetic properties of wood and give rise to some ideas of how to implement them in a production process.

Place, publisher, year, edition, pages
Virginia Tech , 2000.
National Category
Other Mechanical Engineering
Research subject
Wood Technology
Identifiers
URN: urn:nbn:se:ltu:diva-37323Local ID: b4f17ea0-d0d1-11dc-9ad7-000ea68e967bOAI: oai:DiVA.org:ltu-37323DiVA, id: diva2:1010821
Conference
International Conference on Image Processing and Scanning of Wood : 21/08/2000 - 23/08/2000
Note
Godkänd; 2000; 20080201 (olof)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2022-06-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Broman, Olof

Search in DiVA

By author/editor
Broman, Olof
By organisation
Wood Science and Engineering
Other Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 76 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf