基于FISS成像光谱数据的鲜-解冻肉识别研究

基于自主研制的地面成像光谱辐射测量系统(field imaging spectrometer system,FISS),利用获取的可见/近红外波段成像光谱数据进行鲜猪肉和解冻猪肉的识别研究,同时对鲜猪肉的新鲜度在类别和等级上分别进行识别研究.通过最小噪声分离变换和一阶微分处理,消除数据高频随机噪声和基线偏移,改善多重共...

Fresh and frozen-thawed meat discrimination based on FISS imaging spectral data

In the present paper, a self-developed Field imaging spectrometer system (FISS) was used to detect whether pork has been frozen and thawed. The preservation time of fresh pork has also been identified. Fresh and frozen-thawed pork was scanned and imaged and hyperspectral image cubes were acquired using FISS. To eliminate high-frequency random noise and baseline offset and improve the multi-collinearity, all samples were preprocessed by MNF (Minimum noise fraction) transform and first derivative. Multiple analysis models were built by using Wilks' lambda stepwise method to select proper wavelengths. Fisher LDA (linear discriminant analysis) was performed to discriminate fresh and frozen-thawed pork. Eight selected bands gave 99% correct results of fresh or frozen-thawed pork samples. For the freshness by the day, classification accuracy reached 98% with 6 selected bands, while for the freshness by the hour, classification accuracy reached 93.6% with all 28 selected bands. The results showed that FISS might be used as a screening method to identify the quality of meat.