Automatic detection of pith on CT images of spruce logs
Identifieur interne : 000640 ( PascalFrancis/Corpus ); précédent : 000639; suivant : 000641Automatic detection of pith on CT images of spruce logs
Auteurs : Fleur Longuetaud ; Jean-Michel Leban ; Frédéric Mothe ; Erwan Kerrien ; Marie-Odile BergerSource :
- Computers and electronics in agriculture [ 0168-1699 ] ; 2004.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Computer tomography is a non-destructive method that can be used to analyze certain characteristics inside logs. Data are acquired in a series of 2-D slices regularly spaced within the log and it is possible to identify the pith, annual growth rings, knots, cracks, resin pockets, etc. This paper focus on automatic pith detection, which can be considered as a preliminary step to detection of other objects such as knots. Firstly, a literature review on this subject is presented. Then, a method for a detection of the pith along a log is proposed, which is able to deal with the problem of the presence of whorls. The whole sample used contained 18,700 images of spruce taken within 42 logs from 12 trees cut from two stands. Four trees constituted the base sample which was used to fix the parameters of the algorithm; the rest of the trees constituted the test sample. The mean distance between the automatically and manually detected pith positions was only 0.75 mm and for more than 95% of the slices the accuracy of the detection was better than 2 mm.
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Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 04-0440223 INIST |
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ET : | Automatic detection of pith on CT images of spruce logs |
AU : | LONGUETAUD (Fleur); LEBAN (Jean-Michel); MOTHE (Frédéric); KERRIEN (Erwan); BERGER (Marie-Odile) |
AF : | Centre INRA de Nancy, Equipe de recherche sur la Qualité des Bois, Laboratoire d'Etude des Ressources Forêt-Bois/54280 Champenoux/France (1 aut., 2 aut., 3 aut.); INRIA Lorraine and LORIA, 615 rue du Jardin Botanique, BP 101/54602 Villers Les Nancy/France (4 aut., 5 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Computers and electronics in agriculture; ISSN 0168-1699; Coden CEAGE6; Pays-Bas; Da. 2004; Vol. 44; No. 2; Pp. 107-119; Bibl. 20 ref. |
LA : | Anglais |
EA : | Computer tomography is a non-destructive method that can be used to analyze certain characteristics inside logs. Data are acquired in a series of 2-D slices regularly spaced within the log and it is possible to identify the pith, annual growth rings, knots, cracks, resin pockets, etc. This paper focus on automatic pith detection, which can be considered as a preliminary step to detection of other objects such as knots. Firstly, a literature review on this subject is presented. Then, a method for a detection of the pith along a log is proposed, which is able to deal with the problem of the presence of whorls. The whole sample used contained 18,700 images of spruce taken within 42 logs from 12 trees cut from two stands. Four trees constituted the base sample which was used to fix the parameters of the algorithm; the rest of the trees constituted the test sample. The mean distance between the automatically and manually detected pith positions was only 0.75 mm and for more than 95% of the slices the accuracy of the detection was better than 2 mm. |
CC : | 002A32 |
FD : | Automatique; Tomographie; Traitement image; Grume |
ED : | Automatic; Tomography; Image processing; Log(wood) |
SD : | Automático; Tomografía; Procesamiento imagen |
LO : | INIST-21007.354000110576770020 |
ID : | 04-0440223 |
Links to Exploration step
Pascal:04-0440223Le document en format XML
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<ET>Automatic detection of pith on CT images of spruce logs</ET>
<AU>LONGUETAUD (Fleur); LEBAN (Jean-Michel); MOTHE (Frédéric); KERRIEN (Erwan); BERGER (Marie-Odile)</AU>
<AF>Centre INRA de Nancy, Equipe de recherche sur la Qualité des Bois, Laboratoire d'Etude des Ressources Forêt-Bois/54280 Champenoux/France (1 aut., 2 aut., 3 aut.); INRIA Lorraine and LORIA, 615 rue du Jardin Botanique, BP 101/54602 Villers Les Nancy/France (4 aut., 5 aut.)</AF>
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<EA>Computer tomography is a non-destructive method that can be used to analyze certain characteristics inside logs. Data are acquired in a series of 2-D slices regularly spaced within the log and it is possible to identify the pith, annual growth rings, knots, cracks, resin pockets, etc. This paper focus on automatic pith detection, which can be considered as a preliminary step to detection of other objects such as knots. Firstly, a literature review on this subject is presented. Then, a method for a detection of the pith along a log is proposed, which is able to deal with the problem of the presence of whorls. The whole sample used contained 18,700 images of spruce taken within 42 logs from 12 trees cut from two stands. Four trees constituted the base sample which was used to fix the parameters of the algorithm; the rest of the trees constituted the test sample. The mean distance between the automatically and manually detected pith positions was only 0.75 mm and for more than 95% of the slices the accuracy of the detection was better than 2 mm.</EA>
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