光学精密工程2013，Vol.21Issue(8)：2121-2128,8.DOI:10.3788/OPE.20132108.2121
面向田间籽棉成熟度判别的二种特征选择算法比较
Comparison of two feature selection algorithms oriented to raw cotton ripeness discrimination
摘要
Abstract
To discriminate the ripeness of cotton quickly and accurately,15 shape structure features were extracted from cotton images and the execute efficiencies and classification accuracy of their feature subset selection algorithms such as Wrapper-based Exhaustive searching and Wrapper-based stopping(WE-W) and Filter-based Heuristic searching and Wrapper-based stopping(FH-W) were compared by using 10-fold cross-validation.By taking the error rate of a Bayes classifier on validation set (WE-W) and the class-separability measuring value on a training set (FH-W)as assessing functions,the optimal l (l=1,2,3,…,15) feature subset was searched by using exhaustive (WE-W) and heuristic (FH-W) strategies on the training set,which stops at the minimum error rate of Bayes-classifier on the validation set(WE-W and FH-W).Experimental results show that the average classification rates of WE-W and FH-W algorithms on the prediction set are 85.39％ (WE-W) and 85.28％ (FHW) at l=3,respectively.It concludes that the FH-W algorithm can be a reference in practice for its higher execute efficiency and good classification accuracy.关键词
籽棉成熟度/封装器/穷举搜索/过滤器/启发式搜索/特征选择Key words
cotton ripeness/wrapper/exhaustive search/filter/heuristic search/feature selection分类
信息技术与安全科学引用本文复制引用
王玲,刘德营,姬长英..面向田间籽棉成熟度判别的二种特征选择算法比较[J].光学精密工程,2013,21(8):2121-2128,8.基金项目
国家863高技术研究发展计划资助项目(No,2006AA10Z259) （No,2006AA10Z259）
江苏省农机基金资助(No,GXZ10007) （No,GXZ10007）
