High Speed Stereovision Setup for Position and Motion Estimation of Fertilizer Particles Leaving a Centrifugal Spreader

Bilal Hijazi, Simon Cool, Jürgen Vangeyte, Koen Mertens, Frédéric Cointault, Michel Paindavoine, Jan Pieters

    Research output: Contribution to journalA1: Web of Science-articlepeer-review


    A 3D imaging technique using a high speed binocular stereovision system was developed in combination with corresponding image processing algorithms for accurate determination of the parameters of particles leaving the spinning disks of centrifugal fertilizer spreaders. Validation of the stereo-matching algorithm using a virtual 3D stereovision simulator indicated an error of less than 2 pixels for 90% of the particles. The setup was validated using the cylindrical spread pattern of an experimental spreader. A 2D correlation coefficient of 90% and a Relative Error of 27% was found between the experimental results and the (simulated) spread pattern obtained with the developed setup. In combination with a ballistic flight model, the developed image acquisition and processing algorithms can enable fast determination and evaluation of the spread pattern which can be used as a tool for spreader design and precise machine calibration.
    Original languageEnglish
    Article number10.3390/s141121466
    Issue number11
    Pages (from-to)21466-21482
    Number of pages16
    Publication statusPublished - 13-Nov-2014

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