Knot shape assessment on various species through X-ray CT scanning
Identifieur interne : 001A33 ( Main/Exploration ); précédent : 001A32; suivant : 001A34Knot shape assessment on various species through X-ray CT scanning
Auteurs : Adrien Kr Henbühl [France] ; Fleur Longuetaud [France] ; Jean-Baptiste Morisset [France] ; Francis Colin [France] ; Isabelle Debled-Rennesson [France] ; Bertrand Kerautret [France] ; Frédéric Mothe [France]Source :
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Abstract
X-ray computer tomography (CT) is the most promising method for non-destructively analysing knottiness in wood logs or beams. Two methods for measuring knot size and location from stacks of CT-images were developed and applied to a wide range of wood samples. The first method aims to provide exhaustive and accurate measurements by manually pointing and tracking the knots within the image stack in view to reconstruct 3D knot shape and arrangement. The method was applied on a set of 125 logs of 17 European species (mainly hardwoods) with the objective to identify species-specific markers based on knot morphology. The second method, which is more oriented toward industrial uses, is based upon an automated algorithm to individualise the knots and output their size and location without any human intervention. Still in development, this method is yet applicable to simple branch architecture patterns, like for softwoods, assuming that moisture content is relatively homogeneous between sapwood and heartwood. Both methods were applied to a set of air-dried beams of Norway spruce and silver fir. The comparison showed that, depending on the beam, 71 to 100 % of the manually measured knots were detected by the automatic method. The R2 values between manual and automated measurements were greater than 0.90 for knot maximal diameter, volume and inclination, and equal to 0.65 for knot length.
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AgroParisTech - 16 rue Claude Bernard F-75231 Paris Cedex 05</addrLine><country key="FR"></country></address><ref type="url">http://www.agroparistech.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author><author><name sortKey="Morisset, Jean Baptiste" sort="Morisset, Jean Baptiste" uniqKey="Morisset J" first="Jean-Baptiste" last="Morisset">Jean-Baptiste Morisset</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-135774" status="VALID"><orgName>Laboratoire d'Etudes des Ressources Forêt-Bois</orgName><orgName type="acronym">LERFoB</orgName><desc><address><addrLine>F-54280 Champenoux</addrLine><country key="FR"></country></address><ref type="url">http://www6.nancy.inra.fr/foret-bois-lerfob</ref></desc><listRelation><relation name="UMR1092" active="#struct-92114" type="direct"></relation><relation active="#struct-148117" type="direct"></relation></listRelation><tutelles><tutelle name="UMR1092" active="#struct-92114" type="direct"><org type="institution" xml:id="struct-92114" status="VALID"><orgName>Institut National de la Recherche Agronomique</orgName><orgName type="acronym">INRA</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inra.fr</ref></desc></org></tutelle><tutelle active="#struct-148117" type="direct"><org type="institution" xml:id="struct-148117" status="VALID"><orgName>AgroParisTech</orgName><orgName type="acronym">AgroParisTech</orgName><desc><address><addrLine>Institut des sciences et industries du vivant et de l'environnement - 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AgroParisTech - 16 rue Claude Bernard F-75231 Paris Cedex 05</addrLine><country key="FR"></country></address><ref type="url">http://www.agroparistech.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>computer tomography</term><term>image analysis</term><term>knottiness</term><term>wood</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">X-ray computer tomography (CT) is the most promising method for non-destructively analysing knottiness in wood logs or beams. Two methods for measuring knot size and location from stacks of CT-images were developed and applied to a wide range of wood samples. The first method aims to provide exhaustive and accurate measurements by manually pointing and tracking the knots within the image stack in view to reconstruct 3D knot shape and arrangement. The method was applied on a set of 125 logs of 17 European species (mainly hardwoods) with the objective to identify species-specific markers based on knot morphology. The second method, which is more oriented toward industrial uses, is based upon an automated algorithm to individualise the knots and output their size and location without any human intervention. Still in development, this method is yet applicable to simple branch architecture patterns, like for softwoods, assuming that moisture content is relatively homogeneous between sapwood and heartwood. Both methods were applied to a set of air-dried beams of Norway spruce and silver fir. The comparison showed that, depending on the beam, 71 to 100 % of the manually measured knots were detected by the automatic method. The R2 values between manual and automated measurements were greater than 0.90 for knot maximal diameter, volume and inclination, and equal to 0.65 for knot length.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Kr Henbuhl, Adrien" sort="Kr Henbuhl, Adrien" uniqKey="Kr Henbuhl A" first="Adrien" last="Kr Henbühl">Adrien Kr Henbühl</name></region><name sortKey="Colin, Francis" sort="Colin, Francis" uniqKey="Colin F" first="Francis" last="Colin">Francis Colin</name><name sortKey="Debled Rennesson, Isabelle" sort="Debled Rennesson, Isabelle" uniqKey="Debled Rennesson I" first="Isabelle" last="Debled-Rennesson">Isabelle Debled-Rennesson</name><name sortKey="Kerautret, Bertrand" sort="Kerautret, Bertrand" uniqKey="Kerautret B" first="Bertrand" last="Kerautret">Bertrand Kerautret</name><name sortKey="Longuetaud, Fleur" sort="Longuetaud, Fleur" uniqKey="Longuetaud F" first="Fleur" last="Longuetaud">Fleur Longuetaud</name><name sortKey="Morisset, Jean Baptiste" sort="Morisset, Jean Baptiste" uniqKey="Morisset J" first="Jean-Baptiste" last="Morisset">Jean-Baptiste Morisset</name><name sortKey="Mothe, Frederic" sort="Mothe, Frederic" uniqKey="Mothe F" first="Frédéric" last="Mothe">Frédéric Mothe</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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