Automatic detection of sound knots and loose knots on sugi using gray level co-occurrence matrix parameters
- Author
- CHUANSHUANG HU1 ; XIAO MIN2 ; HONG YUN1 ; TING WANG1 ; SHIKANG ZHANG1
[1] Faculty of Forestry, South China Agricultural University, Guangzhou 510642, China
[2] School of Architecture, South China University of Technology, Guangzhou 510642, China - Source
Annals of forest science (Print). 2011, Vol 68, Num 6, pp 1077-1083, 7 p ; ref : 1/4 p
- ISSN
- 1286-4560
- Scientific domain
- Forestry, silviculture; Polymers, paint and wood industries
- Publisher
- EDP Sciences, Les Ulis
- Publication country
- France
- Document type
- Article
- Language
- English
- Author keyword
- Defect detection Image processing Knots Wood quality
- Keyword (fr)
- Bois Cryptomeria japonica Détection défaut Foresterie Qualité Traitement image Noeud du bois Arbre forestier résineux Coniferales Gymnospermae Spermatophyta
- Keyword (en)
- Wood Cryptomeria japonica Defect detection Forestry Quality Image processing Wood knot Softwood forest tree Coniferales Gymnospermae Spermatophyta
- Keyword (es)
- Madera Cryptomeria japonica Detección imperfección Ciencias forestales Calidad Procesamiento imagen Arbol forestal resinoso Coniferales Gymnospermae Spermatophyta
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A33 Forestry / 002A33A Generalities. Production, biomass. Quality of wood and forest products. General forest ecology / 002A33A04 Quality of wood and forest products
- Discipline
- Silviculture
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 24559604
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s13595-011-0123-x 
https://dx.doi.org/10.1007/s13595-011-0123-x
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