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基于K-L變換與LS-SVM的玉米品種識(shí)別方
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Method of Maize Cultivars Based on K-L Transform and LS-SVM
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    為實(shí)現(xiàn)外觀相似的不同玉米品種的有效識(shí)別，提出了K-L變換與最小二乘支持向量機(jī)相結(jié)合的籽粒品種鑒別方法。采用標(biāo)記算法及多尺度小波分析方法獲得玉米單籽粒圖像，應(yīng)用K-L變換技術(shù)提取籽粒圖像的特征數(shù)據(jù)，設(shè)計(jì)了二叉樹(shù)型多類LS-SVM分類器，實(shí)現(xiàn)了對(duì)特征數(shù)據(jù)的有效分類。通過(guò)試驗(yàn)分析，確定了較為合理的狀態(tài)空間維數(shù)(L=3)，正確識(shí)別率可達(dá)

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    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%．

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權(quán)龍哲,祝榮欣,雷溥,韓豹.基于K-L變換與LS-SVM的玉米品種識(shí)別方[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(4):168-172. Method of Maize Cultivars Based on K-L Transform and LS-SVM[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(4):168-172.

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