基于K-L变换与LS-SVM的玉米品种识别方法  

Recognition Method of Maize Cultivars Based on K-L Transform and LS-SVM

作　　者：权龙哲[1,2] 祝荣欣[3] 雷溥[1] 韩豹[1,2] 

机构地区：[1]东北农业大学工程学院,哈尔滨150030 [2]吉林大学地面机械仿生技术教育部重点实验室,长春130025 [3]黑龙江科技学院机械工程学院,哈尔滨150027

出　　处：《农业机械学报》2010年第4期168-172,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金："十一五"国家科技支撑计划资助项目(2006BAD11A05-6);黑龙江省教育厅科技基金资助项目(10531191)

摘　　要：为实现外观相似的不同玉米品种的有效识别,提出了K-L变换与最小二乘支持向量机相结合的籽粒品种鉴别方法。采用标记算法及多尺度小波分析方法获得玉米单籽粒图像,应用K-L变换技术提取籽粒图像的特征数据,设计了二叉树型多类LS-SVM分类器,实现了对特征数据的有效分类。通过试验分析,确定了较为合理的状态空间维数(L=3),正确识别率可达95.3%。A method for maize cultivars identification was proposed,by using the combination algorithm of K-L transform and least square support vector machines（LS-SVM）.Firstly,labeling algorithm and multi-scale wavelet analysis were used to acquire single corn kernel images;secondly,K-L transform was employed to extract the features of corn kernel images;at last,the method of LS-SVM with a binary tree architecture was developed to identify maize cultivars by using feature data.According to the result of test,the reasonable state space dimension（L=3） is acquired,and this method gives a correct recognition rate of 95.3%.

关 键 词：玉米品种 模式识别 图像处理 K-L变换 最小二乘支持向量机 

分 类 号：S126[农业科学—农业基础科学] TP391.4[自动化与计算机技术—计算机应用技术]