Classification of Apple Using Near Infrared Spectroscopy Based on Fuzzy Discriminant Analysis

摘要：

　　Classification of apple is an important link in postharvest commercialization processing.To realize the non-destructive,rapid and effective discrimination of apple fruits,the near infrared reflectance spectra of four varieties of apples were collected using near infrared spectroscopy,reduced by principal component analysis (PCA) and used to extract the discriminant information by linear discriminant analysis (LDA),quadratic discriminant analysis (QDA),fuzzy discriminant analysis (FDA) and Foley-Sammon discriminant analysis.Finally k-nearest neighbor finished the classification.The classification results showed that FDA could extract the discriminant information of NIR spectra more effectively,and achieved the highest classification accuracy.

关键词： Classification of apple Near infrared spectroscopy Linear discriminant analysis Quadratic discriminant analysis Fuzzy discriminant analysis Foley-Sammon discriminant analysis

作者: WU Xiaohong WAN Xingxing WU Bin WU Fan

作者单位: School of Electrical and lnformation Engineering, Jiangsu University, Zhenjiang 212013, China Jingjiang College, Jiangsu University, Zhenjiang 212013, China Department of Information Engineering, ChuZhou Vocational Technology College, Chuzhou 239000, China

会议类型: 国际会议

会议名称: 2nd International Conference on Polymer Composities and Polymer Testing (2013第二届高分子复合材料与高分子测试国际会议暨先进工业技术与方案国际会议)(ISPCPT2013)

会议地点: 太原

会议语种:英文

页码: 663-667

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）