New approach to wood defects detection (CROSBI ID 695665)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa
Podaci o odgovornosti
Jambreković, Branimir ; Veselčić, Filip ; Sinković, Tomislav ; Sedlar, Tomislav
engleski
New approach to wood defects detection
Modern wood processing requests access to wood with the aim of maximizing utilization of wood in qualitative and quantitative terms. One of the main obstacles to this objective are wood defects which are unavoidable flaws in tree growth and development of wood matter (knots, cracks, discoloration, etc.). The demand for cost-effective and rapid production with high economic utilization of raw materials led us to the development of high-tech scanners that identify the surface of wood elements more effectively than the human eye. Information about identified errors from the scanned surface of wood elements is instantly received. This information proposed a model of cutting elements and associated classes with the aim of maximizing the qualitative or quantitative utilization. Considering that all wood defects from discoloration to cracks are computer programmed with an objective view, we are left to assume that the observers will not just look at a certain wood element as well as scanner. Their observation is subjective and a matter of the experience and perception of certain changes or anomalies on the wood element. The aim of this study was to determine wood defects with an industrial scanner as objective observation and detecting wood defects with the human eye as a subjective perception of certain wood defects having regard that human eyes also have their own limits. Wood defects were investigated on wood elements from Slavonian oak (Quercus robur L.).
human eye scanning of wood, industrial scanning of wood, Slavonian oak (Quercus robur L.), wood defects
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Podaci o prilogu
295-295.
2020.
objavljeno
Podaci o matičnoj publikaciji
Sustainability of forest-based industries in the global economy
Jelačić, Denis
Vinkovci: WoodEMA, i.a. ; Fakultet šumarstva i drvne tehnologije Sveučilišta u Zagrebu ; Competence Centre
978-953-57822-8-5
Podaci o skupu
13th International Conference WoodEMA ; 31st International Conference ICWST
predavanje
28.09.2020-29.09.2020
Vinkovci, Hrvatska