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The Research on Recognition Methods of Aphid Objects in the Complex Backgrounds

机译:复杂背景下蚜虫目标识别方法的研究

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In order to improve the recognition accuracy among the kinds of aphids in the complex backgrounds, 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 aphid images' texture feature of three crops are extracted by DT-CWT in order to get the training parameters of training model; finally the training model could recognize aphids among the three kinds of crops. By contrasting to Gabor wavelet transform and the traditional extracting texture's methods based on Gray-Level Co-Occurrence Matrix (GLCM), the experiment result shows that the method has a certain practicality and feasibility and provides basic for aphids' recognition between the identification among same kind aphid.
机译:为了提高复杂背景下各种蚜虫之间的识别精度,提出了一种基于双树复小波变换(DT-CWT)和支持向量机(Libsvm)的蚜虫之间的识别方法。首先对图像进行预处理;然后用DT-CWT提取3种作物的蚜虫图像纹理特征,得到训练模型的训练参数。最后,该训练模型可以识别三种农作物中的蚜虫。通过与Gabor小波变换和基于灰度共生矩阵(GLCM)的传统提取纹理方法进行对比,实验结果表明该方法具有一定的实用性和可行性,为蚜虫之间识别之间的识别提供了基础。善良的蚜虫。

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