渗油醋胶囊高光谱快速检测技术  

Rapid Determination of Oil Stained Vinegar Capsule Using Hyper-spectral Technology

作　　者：石吉勇[1] 邹小波[1] 赵杰文[1] 洪兆鹏[1] 黄晓玮[1] 朱瑶迪[1] 

机构地区：[1]江苏大学食品与生物工程学院,镇江212013

出　　处：《农业机械学报》2015年第7期210-213,共4页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(61301239);江苏省杰出青年基金资助项目(BK20130010);江苏省自然科学基金资助项目(BK20130505);中国博士后科学基金资助项目(2013M540422;2014T70483);江苏省博士后科研计划资助项目(1301051C);江苏大学高级专业人才科研启动基金资助项目(13JDG039)

摘　　要：针对渗油醋胶囊具有与合格醋胶囊相似颜色,难以用肉眼或者计算机视觉进行快速检测的问题,利用高光谱图像信息对化学成分的敏感性,采用高光谱图像技术捕捉渗油醋胶囊在430-960 nm波段下的特征信息,结合线性判别分析（LDA）、K最近邻判别法（KNN）建立渗油醋胶囊的判别模型。在K值为3、主成分因子数为2时,KNN模型对应的校正集识别率和预测集识别率分别达到100%。研究表明,高光谱图像技术可以有效表征渗油醋胶囊表面外渗成分的光谱特征,实现对渗油醋胶囊的快速检测。The oil stained vinegar capsule and the qualified vinegar capsule are of the same color,which makes it difficult to detect oil stained vinegar capsule using the naked eye or computer vision. The spectral information of hyperspectral data is sensitive to the chemical compounds of sample area,and allows quantitative / qualitative analysis of biological products. Therefore the feasibility of using hyperspectral imaging technology for rapid determination of oil stained vinegar capsule was investigated. The hyper-spectral image data of oil stained vinegar capsule were acquired in the wavelength range of 430 -960 nm,and were used to extract characteristic information of oil stained vinegar capsule. Linear discriminant analysis（ LDA） and K-nearest neighbor algorithm（ KNN） were used to build discriminant models for oil stained vinegar capsule. When principal component factors equaled to 2 and K levels equaled to 3,the optimal KNN model was obtained with identification rates of 100% in both training set and prediction set. The overall results show that hyper-spectral imaging technology could extract the spectral characteristics of oil stained vinegar capsule efficiently. The hyper-spectral imaging technology could be used for rapid determination of oil stained vinegar capsule.

关 键 词：醋胶囊 渗油 高光谱技术 快速检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TS207.7[自动化与计算机技术—计算机科学与技术]