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                <term xml:lang="en">plant technical fibres</term>
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              <p>In addition to the textile industry, natural fibres are attracting to other sectors such as the automotive and construction industries. The costumer required time cycle and the expansion requires an increase of production rate. Moreover, in the field of composites, the local properties of a composite are highly dependent on the reinforcement volume fraction and technical fibres orientation Therefore; this work presents a new nondestructive method to identify the areal weight of a UD veil of natural fiber as well as the orientation of their technical fibres. The proposed method combines first and second order image processing and statistical techniques to determine the orientation of the technical fibres and the areal weight of a UD veil of natural fiber. The method is based on the computation of the areal weight of each grey level as a function of sample mass. In this method, the SVD (Single Value Decomposition) truncation technique has been implemented in the formulation in order to reduce the effect of measurement noise. In order to identify the technical fibre orientation of a UD veil of natural fiber sample, a second order statistical study was performed to take into account the arrangements of pixel grey level. In this approach, the MDV (Mean Directional Vector) regularization technique was implemented in the formulation to determine the technical fibres orientation. Both methods were tested with digitally created images as a first step. Both approaches allow identifying satisfactorily the basis weight and orientation of the simulated samples even with addition of numerical noise. The identification of the areal weight and orientation of the technical fibres of a commercially available UD veil of natural fiber shows results in good agreement with conventional measurement methods</p>
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