AK
Adrien Krähenbühl
20
Documents
Researcher identifiers
akrah
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0000-0003-0247-0738
- IdRef : 184739225
Presentation
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Un algorithme robuste de segmentation des nœuds du bois sur des images obtenues par tomographie xRevue forestière française, 2016, 2, ⟨10.4267/2042/61869⟩
Journal articles
hal-02987202v1
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Knot segmentation in 3D CT images of wet woodPattern Recognition, 2014, 47 (12), pp.3852-3869. ⟨10.1016/j.patcog.2014.05.015⟩
Journal articles
hal-01062639v1
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Automatic knot segmentation in CT images of wet softwood logs using a tangential approachComputers and Electronics in Agriculture, 2014, 104, pp.46-56. ⟨10.1016/j.compag.2014.03.004⟩
Journal articles
hal-00981419v1
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Automatic knot detection and measurements from X-ray CT images of wood: A review and validation of an improved algorithm on softwood samplesComputers and Electronics in Agriculture, 2012, 85, pp.77--89. ⟨10.1016/j.compag.2012.03.013⟩
Journal articles
hal-00780761v1
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Segmentation et analyse géométrique : application aux images tomodensitométriques de boisAutre [cs.OH]. Université de Lorraine, 2014. Français. ⟨NNT : 2014LORR0276⟩
Theses
tel-01751318v1
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Segmentation et analyse géométrique : application aux images tomodensitométriques de bois.Imagerie médicale. Université de Lorraine, 2014. Français. ⟨NNT : ⟩
Theses
tel-01262056v1
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MAELab: a framework to automatize landmark estimationWSCG 2017, May 2017, Plzen, Czech Republic
Conference papers
hal-01571440v1
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On the Implementation of Centerline Extraction Based on Confidence Vote in Accumulation MapRRPR 2016 1st Workshop on Reproducible Research in Pattern Recognition, Bertrand Kerautret; Miguel Colom; Pascal Monasse, Dec 2016, Cancùn, Mexico. pp.116-130, ⟨10.1007/978-3-319-56414-2_9⟩
Conference papers
hal-01571434v1
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Centerline Detection on Partial Mesh Scans by Confidence Vote in Accumulation MapICPR 2016 - IAPR International Conference on Pattern Recognition, Dec 2016, Cancùn, Mexico. ⟨10.1109/ICPR.2016.7899829⟩
Conference papers
hal-01435271v1
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Analyse géométrique d'objets tubulaires 3D basée sur l'accumulation de normalesRFIA 2016 - Reconnaissance des Formes et l'Intelligence Artificielle, Jun 2016, Clermont Ferrand, France
Conference papers
hal-01359558v1
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Robust Knot Segmentation by Knot Pith Tracking in 3D Tangential ImagesICCVG 2016, Sep 2016, Warsaw, Poland. pp.581-593, ⟨10.1007/978-3-319-46418-3_52⟩
Conference papers
hal-01421205v1
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3D Geometric Analysis of Tubular Objects based on Surface Normal Accumulation18th International Conference on Image Analysis and Processing, Sep 2015, Genova, Italy. ⟨10.1007/978-3-319-23231-7_29⟩
Conference papers
hal-01139374v2
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Knot Detection from Accumulation Map by Polar ScanIWCIA, Nov 2015, Kolkata, India. ⟨10.1007/978-3-319-26145-4_26⟩
Conference papers
hal-01261651v1
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Segmentation de noeuds de bois à partir d'images tomodensitométriques : approches transversales et tangentiellesReims Image, Nov 2014, Reims, France. pp.5
Conference papers
hal-01098131v1
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Segmentation robuste de nœuds à partir de coupes tangentielles issues d'images tomographiques de boisReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Institut National des Sciences Appliquées Rouen Normandie (INSA Rouen). FRA., Jun 2014, Reims, France
Conference papers
hal-00989126v1
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Knot Segmentation in Noisy 3D Images of Wood17th IAPR International Conference on Discrete Geometry for Computer Imagery - 2013, Mar 2013, Sevilla, Spain. pp.383-394, ⟨10.1007/978-3-642-37067-0_33⟩
Conference papers
hal-00804070v1
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Knot shape assessment on various species through X-ray CT scanningInternational Union of Forest Research Organisation (IUFRO), Jul 2012, Lisbon, Portugal
Conference papers
hal-00768816v1
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Knot Detection in X-Ray CT Images of WoodISVC - 8th International Symposium on Visual Computing - 2012, Jul 2012, Rethymnon, Greece. pp.209-218, ⟨10.1007/978-3-642-33191-6_21⟩
Conference papers
hal-00780731v1
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Discrete Geometry and Mathematical MorphologySpringer International Publishing, 13493, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-19897-7⟩
Books
hal-03838997v1
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An Overview of Platforms for Reproducible Research and Augmented PublicationsReproducible Research in Pattern Recognition, pp.25-39, 2019, ⟨10.1007/978-3-030-23987-9_2⟩
Book sections
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