【摘要】 综合利用计算机视觉技术和自组织神经网络技术,实现了对粮仓害虫的无损检测。通过对粮仓害虫图像的CCD图像预处理,提取了近十个几何特征参数,并通过优化选取其中6个参数输入神经网络进行训练。仿真结果表明,训练网络对粮仓4类常见害虫的识别率达到了91.7%,得到了较好的识别结果。更多还原

【Abstract】 With the full use of computer vision and neural networks,this paper presents an automatic classification method in the stored-grain pests.Through the pretreatment to the CCD image of stored-grain pests,we extracted nine shape features,by the feature selection,we get six features as the input parameters of neural networks.By use of Self-organizing Feature Map Neural Network model,an experiment for recognizing twenty samples of four kinds of stored-grain pests was performed,and the accurate recognition ratio reached 91.3%.更多还原