首页|期刊导航|食品与机械|基于可见/近红外高光谱成像技术的鸡蛋新鲜度无损检测

基于可见/近红外高光谱成像技术的鸡蛋新鲜度无损检测OA北大核心CSCDCSTPCD

Non-destructive determination of eggs freshness by Vis/NIR hyperspectral imaging technology

中文摘要英文摘要

以400~1 000 nm高光谱系统获得鸡蛋样本的高光谱图像,利用蒙特卡洛法检测异常样本,采用不同预处理方法处理原始光谱;应用竞争性正自适应加权算法(Competitive Adaptive Reweighted Sampling,CARS)、遗传偏最小二乘法(Genetic Algorithms PLS,GAPLS)和间隔蛙跳法(Interval Random Frog,IRF)对预处理后光谱数据提取特征波长;分别建立基于全光谱和特征波长的偏最…查看全部>>

Hyperspectral images of egg samples were obtained using a hyperspectral system of 400 ~ 1 000 nm.The anomalous samples were detected by Monte Carlo method,and the original spectra were processed by three kinds of pretreatment methods.The characteristic wavelengths were extracted from the spectral data after pretreatment using competitive adaptive reweighed sampling (CARS),Genetic Algorithms PLS (GAPLS) and Interval Random Frog (IRF).The Partial Least Squares…查看全部>>

杨晓玉;丁佳兴;房盟盟;何建国

宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021

可见/近红外高光谱成像技术鸡蛋新鲜度无损检测

Visible/near infraredhyperspectral imaging technologyeggfreshnessnondestructive measurement

《食品与机械》 2017 (11)

灵武长枣采后光谱特征变化的生物光学机理研究

131-136,6

国家自然科学基金(编号:31560481)

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