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Weed/corn seedling recognition by support vector machine using texture features
Corn seedling weeds texture support vector machine recognize
2010/9/10
This study investigated the effect of a new approach, the support vector machine, as a classifier tool to identify the weeds in corn fields at early growth stage. Image segmentation was done by transf...
选取郑单958、辽单565、京科25玉米品种作为研究对象，从玉米籽粒的数字图像中提取与玉米籽粒的颜色、形状、尺寸等有关的6个形态结构参数，利用支持向量机(SVM)算法进行训练识别，同时与BP人工神经网络(NN)方法进行比较，结果表明，SVM算法识别效率较高，达到92.3%。
Eggshell crack detection by acoustic impulse response and support vector machine
Eggshell crack detection acoustic impulse response frequency feature support vector machine
2009/3/4
This paper investigates the effect of support vector machine (SVM) for the classification of intact and cracked eggs. The four frequency features of the sound impulse resonance of an egg excited wit...