New method of recognition of wood species. Increasing of the effectiveness of colorimetric recognition of Picea excelsa and Abies alba

Drevarsky Vyskum/Wood Research

Volumn 47, Issue 1, 2002, Pages 1-12

  Katuščák, Svetozár ^a   Kucera, Ladislav J ^a   Varga, Štefan ^a   Vrška, Milan ^a   Čeppan, Michal ^a   Šutý, Štefan ^a   Jablonský, Michal ^a  

^a State Forest Products Research Institute   (Slovakia)

Author keywords

Color; Colorimetry; Fir; Machine vision; Non destructive evaluation; Optical properties; Recognition; Spruce; Temperate wood species; Visual sorting

Indexed keywords

AUTOMATION; COLORIMETRY; COMPUTER VISION; NONDESTRUCTIVE EXAMINATION; PROBABILITY DENSITY FUNCTION;

VISUAL SORTING;

WOOD;

AUTOMATION; COLORIMETRY; NONDESTRUCTIVE TESTS; WOOD SPECIES;

EID: 0036308595     PISSN: 00126136     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. IAWA list of microscopic features for hardwood identification with appendix on non-anatomical information
2. Means of objective identification of spruce wood decay
3. On quantifying of color
4. Migration of colour substances in wood and a new method of its measurement
5. Vplyv biologického poškodenia na extraktívne látky dubového dreva
6. Course of biological damage of oak wood and its identification
7. Photo-induced modification of the optical properties of lignocellulose materials. Effect of substrate surface on the photoyellowing of surface-coated lignin model compounds
8. Identifikácia a delignifikácia biologicky poškodených smrekových štiepok
9. Chemická úprava zberového novinového papiera kyselinou peroxooctovou
10. Starnutie papiera a zmena farby
11. Modelový systém sledovania depozície latexových častíc a vytvorenia latexovej viacvrstvy