离散小波变换和BP神经网络识别玉米种子纯度
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering（2012）
Abstract
为快速有效地识别玉米种子纯度,针对玉米种子图像特征,对其图像处理方法和分类算法进行研究,提出一种基于离散小波变换和BP神经网络玉米种子纯度识别算法.该方法首先提取玉米种子冠部核心区域的RGB颜色模型特征参数,然后对三个色彩分量分别进行二层离散小波变换,提取各频带区域均值作为BP神经网络的输入样本,玉米种子的纯度分类作为神经网络的输出样本.实验结果表明该方法可准确识别玉米纯度并分类,正确识别率达94.5％.
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Key words
color,image recognition,purity,neural network,discrete wavelet transform,maize
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