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Detection of wood s...
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Grahn, ThomasRISE,Bygg och fastighet
(author)
Detection of wood species and defects with NIR
Publisher, publication year, extent ...
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Stockhom,2022
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23 s.
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:ri-63970
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ISBN:9789189757691
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https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-63970URI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:vet swepub-contenttype
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Subject category:rap swepub-publicationtype
Series
Notes
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In this project the possibility to determine different wood species and detect defects on wood cross-sections on logs with hyperspectral near-infrared camera was investigated. This project was a laboratory study where cross-sections of logs were scanned at the wood and fibre analysis laboratory at RISE with near-infrared instrument.Wood samples from different origins and species, with different defects were scanned with a hyperspectral near-infrared camera. Classification models were developed to characterise and classify the different logs.Spruce and pine samples were collected from different sawmills, a group of these samples contained fungal growth. The defects within the collected logs varied and some samples contained decay fungi such as sap- and heart rot as well as non-destructive blue stain. Classifications models to distinguish between different wood species were developed, as well classification models to differentiate between healthy wood and the fungal attack were also developed.
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Yassin, ZakiyaRISE,Bygg och fastighet(Swepub:ri)zakiyaya@ri.se
(author)
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RISEBygg och fastighet
(creator_code:org_t)
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