【摘要】 建立了基于树叶纹理建模的树叶识别系统。首先提取采集的树叶的感兴趣区域,然后利用小波变换对重要区域进行分解,提取分解后的高频子带,并用广义高斯模型对高频子带建模,再用高斯模型的参数作为树叶的特征,最后利用K近邻对样本分类。仿真实验表明了该方法的有效性和准确性。更多还原

【Abstract】 A leaves recognition system based on texture modeling was set up.Firstly,we extracted the important region from the collected leaves,used wavelet transform to obtain the high frequency component,and then used general Gaus-sian distribution to model the high frequency component,used the parameters of the general Gaussian distribution as the vector of the tree.The classifier based on KNN was used to classify the pattern.The simulation demonstrates the efficiency and accuracy of this system.更多还原