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Weed center detection in lawn field using morphological image processing

机译:使用形态学图像处理的草坪场中杂草中心检测

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摘要

A method on uniformity analysis made weed detection in lawn field possible. The method could detect weeds based on their surfaces which were more uniform in gray-scale values compared with lawn surface, regardless of their color. The result of uniformity analysis, however, was far from ready to be used as a target decision for weeding because it was a binary image with many noises and broken parts. Morphological image processing was applied to the result of uniformity analysis to obtain stronger and clearer binary images. In addition, the detected weed center location which was expected to correspond with the main root of the weed, was determined for minimum chemical weeding. The techniques on how to do that was also described in this paper.
机译:一种均匀性分析方法使草坪场中的杂草检测成为可能。 该方法可以根据其表面检测杂草,与草坪表面相比,灰度值更均匀,无论其颜色如何。 然而,均匀分析的结果远非准备用作杂草的目标决定,因为它是具有许多噪音和破碎部分的二进制图像。 形态学图像处理被应用于均匀性分析的结果,以获得更强更清晰的二进制图像。 此外,检测到的杂草中心位置预计将与杂草的主要根部相对应,用于最小化学杂草。 本文还描述了如何进行的技术。

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