基于Haar-Adaboost的作物病虫害图像定位技术研究

2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2019-09-01 DOI:10.1109/ICVRIS.2019.00047

Duo Long, Hui Yan, Haiyan Hu, Ping Yu, Daren Hei

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引用次数: 0

摘要

本文利用大棚视频监控获取作物图片，并从作物图片中识别病虫害。视频监控得到的画面不一定是含有农作物的“真实”画面。Haar-adaboost算法首先判断视频获取的图片是否含有作物，然后识别是否含有作物。如果他们不这样做，他们将在下次被提取。本文提出的haar-adaboost算法可以实现农作物害虫图像的高速有效定位

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Image Location Technology of Crop Diseases and Pests Based on Haar-Adaboost

In this paper, video monitoring in greenhouses is used to obtain crop pictures and identify pests and diseases from crop pictures. The pictures obtained in video monitoring are not necessarily the "real" pictures containing crops. Haar-adaboost algorithm is used to judge whether the pictures obtained by video contain crops at first, and then identify them if they contain crops. If they do not, they will be extracted next time. The haar-adaboost algorithm proposed in this paper can realize high speed and effective positioning of crop pest images

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来源期刊

2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)

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