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. 2020 Jun 23;11:666. doi: 10.3389/fpls.2020.00666

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Copyright © 2020 Narisetti, Neumann, Röder and Gladilin.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Methodology of the proposed spike detection algorithm with example images. (A) Wheat plant with ID 1817KN373 at 150 days after sowing. (B) Green color indices-based segmented image. (C) DWT + Laws textural features-based NN segmented image. (D) Image Frangi enhanced at multiple scales and orientations. (E) Final binary segmentation: one leaf-crossing artifact is suppressed with the Frangi-enhanced image. (F) Spikes detected after morphological reconstruction.