Two-step cross correlation-based algorithm for motion estimation applied to fertilizer granules' motion during centrifugal spreading

Bilal Hijazi, Jurgen Vangeyte, Frederic Cointault, Julien Dubois, Sebastien Coudert, Michel Paindavoine, Jan Pieters

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

    Abstract

    Imaging systems are progressing in both accuracy and robustness, and their use in precision agriculture is increasing accordingly. One application of imaging systems is to understand and control the centrifugal fertilizing spreading process. Predicting the spreading pattern on the ground relies on an estimation of the trajectories and velocities of ejected granules. The algorithms proposed to date have shown low accuracy, with an error rate of a few pixels. But a more accurate estimation of the motion of the granules can be achieved. Our new two-step cross-correlation-based algorithm is based on the technique used in particle image velocimetry (PIV), which has yielded highly accurate results in the field of fluid mechanics. In order to characterize and evaluate our new algorithm, we develop a simulator for fertilizer granule images that obtained a high correlation with the real fertilizer images. The results of our tests show a deviation of
    Original languageEnglish
    JournalOptical Engineering
    Volume50
    Issue number6
    ISSN0091-3286
    DOIs
    Publication statusPublished - 1-Jun-2011

    Keywords

    • T111-image-processing

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