中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 基于D-S证据理论的决策级多特征融合苹果分级方法 农业机械学报 2011,42 (6) 188-192
Position: Home > Articles > Multi-feature Decision Fusion Method Based on D-S Evidence Theory for Apple Grading Transactions of the Chinese Society for Agricultural Machinery 2011,42 (6) 188-192

基于D-S证据理论的决策级多特征融合苹果分级方法

作  者：
李先锋;朱伟兴;花小朋;孔令东
单  位：
江苏大学电气信息工程学院;盐城工学院信息工程学院
关键词：
苹果分级;D-S证据理论;特征提取;决策级融合
摘  要：
针对单特征苹果分级的不确定性和低正确率,通过图像处理提取大小、形状、颜色和缺陷4类能反映苹果外观品质的主要特征,引入信息融合的思想,以单特征初步分级的结果作为证据,用D-S证据理论的方法进行决策级融合处理,实现苹果的多特征综合分级,进一步提高可靠性和分级正确率。80个测试样本的分级试验表明,苹果分级正确率达92.5%,与单特征分级相比,此方法正确识别率高、稳定性好、效果显著。
译  名：
Multi-feature Decision Fusion Method Based on D-S Evidence Theory for Apple Grading
作  者：
Li Xianfeng1 Zhu Weixing2 Hua Xiaopeng1 Kong Lingdong1(1.School of Information Engineering,Yancheng Institute of Technology,Yancheng 224051,China2.School of Electronic and Information Engineering,Jiangsu University,Zhenjiang 212013,China)
关键词：
Apple grading,D-S evidence theory,Feature extraction,Decision fusion
摘  要：
According to the uncertainty and low accuracy of apple grading relying on the single feature,key features such as size,shape,color and defect which could show the apple's appearance quality were extracted and a decision fusion method based on D-S evidence theory was proposed.Firstly,the apples were graded according to each of the four features utilizing human experience and neural network.Then,the former grading results were used as evidences to achieve the decision fusion in order to increase the grading reliability and accuracy.Finally,80 apple samples were used to test grading effect.The experimental results showed that five apples were misjudged and the grading accuracy reached to 92.5%.The proposed method had good performance on classification rate and stability compared to the grading method based on single feature.

相似文章

导出引用
计量
文章访问数: 8
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46