Methodology of virtual wood piece quality evaluation

Abstract : This paper presents a way to evaluate the quality of virtual wood products according to their tomographic image. The main objective is to anticipate a sawmill divergent process in order to enhance the production plan. From a virtual representation of the product, singularity features are extracted and their impact on the product virtual quality is assessed thanks to the Choquet integrals. Next, the visual quality is evaluated by merging singularity impacts and singularity number criterion using suitable operators. Three operators are compared to the mean operator which is the commonly used one when there is little knowledge on the decision process. Finally the measure is express in the Sawmill expert language using linguistic variables which give the possibility degree that the product belongs to each quality. This degree could be understood as the risk to attribute the concerned quality. It is finally used to determine which quality is to attribute to product in order to satisfy customer needs and maximize sawyers benefit by a linear programming algorithm.
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Contributor : Vincent Bombardier <>
Submitted on : Friday, May 16, 2014 - 4:49:32 PM
Last modification on : Thursday, January 11, 2018 - 6:17:36 AM


  • HAL Id : hal-00992298, version 1



Jeremy Jover, Vincent Bombardier, André Thomas. Methodology of virtual wood piece quality evaluation. Kurosh Madani, António Dourado, Agostinho Rosa and Joaquim Filipe. Studies in Computational Intelligence, 613, Springer, pp 245-262, 2015, Computational Intelligence, IJCCI 2013, Revised Selected Papers. ⟨hal-00992298⟩



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