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中文摘要：
为提高蚜虫种间识别的准确率，提出了一种基于双树复小波变换（DT—CWT）和支持向量机（Libsvm）的蚜虫图像种间识别方法。该方法首先对图像进行预处理；其次应用DT—CWT对选定的三种农作物蚜虫图像样本进行特征提取。以确定Libsvm训练模型中的训练参数；最后用Libsvm分类器对蚜虫图像进行种间识别。实验对比了Gabor小波变换和传统上基于灰度共生矩阵的特征提取算法，结果表明该方法具有更高的准确率和较低的时间复杂度，为蚜虫的种内识别提供条件。
英文摘要：
In order to improve the recognition accuracy among the kinds of aphids,the recognition method among kinds of aphids based on Dual-Tree Complex Wavelet Transform（DT-CWT） and Support Vector Machine（Libsvm） is proposed.Firstly the image is pretreated;secondly the features of the aphids＇ image examples about three kinds of crops are extracted by DT-CWT in order to get the training parameters of training model;finally the training model can recognize aphids among the three kinds of crops.By contrasting to Gahor wavelet transform and the traditional extracting texture＇s methods based on Gray-Level Co-Occurrence Matrix,the experiment result shows that the method has a certain practicality and feasibility and provides basic for aphids＇ recognition between the same kinds of aphids.
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