Development of a spatial method for weed detection and localization

Jean-Baptiste Vioix; Jean-Paul Douzals; Frédéric Truchetet

doi:10.1117/12.516253

27 February 2004 Development of a spatial method for weed detection and localization

Jean-Baptiste Vioix, Jean-Paul Douzals, Frédéric Truchetet

Proceedings Volume 5266, Wavelet Applications in Industrial Processing; (2004) https://doi.org/10.1117/12.516253
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States

Abstract

This paper presents an algorithm specifically developed for filtering low frequency signals. The application is related to weed detection into aerial images where crop lines are detected as repetitive structures. Theoretical bases of this work are presented first. Then, two methods are compared to select low frequency signals and their limitations are described. A decomposition based on wavelet packet is used to combine advantages of both methods. This algorithm allows a high selectivity of low frequency signals with an interesting computation time. At last, a complete algorithm for weed/crop classification is explained and a few results are shown.

Citation Download Citation

Jean-Baptiste Vioix, Jean-Paul Douzals, and Frédéric Truchetet "Development of a spatial method for weed detection and localization", Proc. SPIE 5266, Wavelet Applications in Industrial Processing, (27 February 2004); https://doi.org/10.1117/12.516253

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