麦田蚜虫自动计数研究

Novel method for estimating cereal aphid population based on computer vision technology

准确估计害虫种群密度是进行虫害预测预报的基础。为了减轻麦蚜虫抽样调查的难度,提高调查的效率和准确性,设计了一套基于计算机视觉技术的蚜虫数量自动计数的新方法。该方法利用麦田中诱集蚜虫的黄色粘板照片作为图像处理的数据源,通过图像分割与连通区域标记算法完成对黄板上蚜虫的自动计数。田间应用的结果表明黄板能较好的诱集到蚜虫,黄板图像单调的背景适合于计算机进行自动计数分析,自动计数的准确率达93.88%以上。

To forecast the outbreak of pest insects is based on the estimation of population density. To improve efficiency and accuracy of the current estimation system for cereal aphids, a novel method based on computer vision technology was introduced. The new method works in the follow ways： the first step was to set sticky yellow pans in wheat fields to trap aphids; secondly, digital images of the yellow pans were taken as the data source for the image analysis system. Then the images were processed for counting the numbers of aphids automatically using the image segmentation and connected region-labeling method. Experiments show that the yellow pan can trap cereal aphids effectively and can provide a plain background to facilitate the counting, so that the automatic counting system counts the tiny insects with accuracy of over 93.88%. This new method proves to be promising to substitute the current estimation system with old routine for collecting data of aphids from the field.