Analyse d'image pour la taille des vignes en long bois

International audienceImage analysis algorithms were developed for making measurements relevant to the winter pruning of long wood grape vines, and were tested on 60 images. The measurements required were, for each branch, the direction, diameter and length, and the position of the bottom end relative to the trunk axis and the lowest supporting wire. Each image was captured using a powerful flash which eliminated the effects of the ambient daylight. The flash was tilted downwards by approximately 15 degrees to the horizontal because the unreflective trunk required more illumination than the branches. Segmentation of the images was by thresholding, size-filtering for noise removal, and reduction to the skeleton. Loss of grey level information and distortion of the skeleton in the region of junctions and crossovers created problems when resolving the vine structure. The wire was located by a Hough transform and the trunk axis was located using a histogram method. The wire was located successfully in 95% of the images. The trunk axis was located successfully in all of the images. Of the primary branches visible in the images, 89% were found by the image analysis, and 80% of these were drawn correctly connected together. The positions of the bottom ends of the branches were not measured accurately enough for pruning purposes, but could have been extrapolated to their correct positions if the location of the long wood had been known with more precisio

A stereo imaging system for the metric 3D recovery of porcine surface anatomy

We have succeeded in capturing porcine 3D surface anatomy in vivo by developing a high-resolution stereo imaging system. The system achieved accurate 3D shape recovery by matching stereo pair images containing only natural surface textures at high (image) resolution. The 3D imaging system presented for pig shape capture is based on photogrammetry and comprises: stereo pair image acquisition, stereo camera calibration and stereo matching and surface and texture integration. Practical issues have been addressed, and in particular the integration of multiple range images into a single 3D surface. Robust image segmentation successfully isolated the pigs within the stereo images and was employed in conjunction with depth discontinuity detection to facilitate the integration process. The capture and processing chain is detailed here and the resulting 3D pig anatomy obtained using the system presented

Aide à la décision multicritères flou pour la taille en long bois : un système pour les configurations de vigne standards et complexes

International audienceSection I of this article presents the agronomic and technical purposes involved in vine pruning and the decision model used to simulate the pruner's reasoning (fuzzy multicriteria decision making). Section II describes the method used for the choice of the best aggregation operator. Section III describes the model decision which is used to make automatic decision on complex vine configurations. Section IV presents the results: the model was performed on training set made of 140 standard pruning cases, 69.4% of similarity were observed between the decision model and the exper

Extracting morphological data from 3D images of pigs

Siebert,J.P