Automatic segmentation of acoustic tomography images for the measurement of wood decay

Espinosa Luis, Arciniegas Andres, Cortes Yolima, Prieto Flavio, Brancheriau Loïc. 2017. Automatic segmentation of acoustic tomography images for the measurement of wood decay. Wood Science and Technology, 51 (1) : pp. 69-84.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : MATERIALS SCIENCE, PAPER & WOOD / Quartile : Q2, Sujet : FORESTRY

Abstract : In the assessment of standing trees, an acoustic tomographic device is a valuable tool as it permits to acquire data from the inner part of the trees without causing them to fall down unnecessarily. The interpretation of the images produced by these devices is part of the diagnosis process for urban trees management. This paper presents a segmentation methodology to identify defective regions in cross-section tomographic images obtained with an Arbotom® device. Two trunk samples obtained from a Blackwood Acacia tree (Acacia melanoxylon) were tested, simulating defects by drilling holes with known geometry, size and position and using different numbers of sensors. Tomograms from the trunk cross sections were processed to align the propagation velocity data with the corresponding region, either healthy or defective. The segmentation methodology proposed aims to find a velocity threshold value to separate the defective region adjusting a logistic regression model to obtain the value that maximizes a performance criterion, using in this case the geometric mean. Two criteria were used to validate this methodology: the geometric mean and the surface ratio detected. Although an optimal threshold value was found for each experiment, this value was strongly influenced by the defect characteristics and the number of sensors. The correctly segmented area ranging from 54 to 93% demonstrates that the threshold method is not always the most proper way to process this type of images, and thereby further research is required in image processing and analysis. (Résumé d'auteur)

Mots-clés Agrovoc : Acacia melanoxylon, Salix, tomographie, Mesure, acoustique, Échantillonnage, Arbre, Tronc, Carie du bois, Défaut du bois, Zone urbaine

Mots-clés géographiques Agrovoc : Colombie

Mots-clés complémentaires : Essai non destructif, Salix humboldtiana

Classification Agris : K50 - Processing of forest products
U30 - Research methods

Champ stratégique Cirad : Axe 2 (2014-2018) - Valorisation de la biomasse

Auteurs et affiliations

  • Espinosa Luis, Universidad Nacional de Colombia (COL)
  • Arciniegas Andres, CNRS (FRA)
  • Cortes Yolima, District Environment Secretariat (COL)
  • Prieto Flavio, Universidad Nacional de Colombia (COL)
  • Brancheriau Loïc, CIRAD-PERSYST-UPR BioWooEB (FRA) ORCID: 0000-0002-9580-7696

Source : Cirad-Agritrop (

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