Research About The Quality Detection Of Tan Lamb Based On Microscopic Hyperspectral Imaging

In this paper,we developed a microscopic hyperspectral imaging system,which incorporated hyperspectral imaging technology and microscopic imaging technology.We obtained the microscopic image information and spectral information of the samples through the spectral imaging of the samples.The preliminary study on the changes of the structure of lamb in the storage process provide theoretical basis for the study of the quality change mechanism in the process of mutton storage.The main research contents are as follows:(1)System construction and optimization:The imaging principle of microscopic hyperspectral imaging system was analyzed by using discrete cell imaging spectrometer,microscope,data acquisition card and so on.The key technology of the system was studied,and the technical indexes of the system were given.Finally,the microscopic hyperspectral imaging system was optimized.(2)The changes of pH,flesh color,colony number,TVB-N content and water content in lamb storage were studied,and the correlation between quality indexes and quality indexes and storage time was analyzed.The results showed that the contents of water content,total number of colonies and TVB-N were significantly correlated with cold storage time(p<0.01),and the correlation coefficients were-0.992,0.995 and 0.991 respectively.The relationship between water content,total number of colonies and TVB-N content and cold storage time was discussed.The curve regression model between water content,total number of colonies and TVB-N content and cold storage time was established.The regression equation were Y=-2.604X2+0.064X+68.623,Y=0.179X2 +0.015X+4.359,Y=1.031X2+0.108X+7.448.(3)The lamb was as the research object,and the water content,the total number of colonies and the TVB-N content of lamb in the storage process were as the evaluation index.Four different spectral pretreatment methods were used for spectral pre-treatment,and finally the different models were used to establish the prediction model of water content,total number of colonies and TVB-N content and cold storage time,and the optimal model was selected.The results showed that the predicted data of the spectral data,the total number of colonies and the TVB-N content were better than other spectral pretreatment method models,the Rc were 0.9426,0.9696 and 0.9659,respectively,and the Rp were 0.9122,0.9201 and 0.9069,respectively.The Rc were 0.9195,0.9067 and 0.9147,respectively,and the Rp were 0.8795,0.8743 and 0.8802,respectively,which were better than those of PCR and SVR models by comparison with different modeling methods.The results showed that it was feasible to quantitatively detect the significant indexes of mutton correlation by using hyperspectral imaging technique and appropriate stoichiometric method.(4)Study on the change of tissue structure of mutton storage process based on microscopic hyperspectral imaging.The microscopic hyperspectral images of the mutton samples were obtained,and the microscopic structure of the lambs with different storage time was observed and analyzed.The images were dimensionally reduced by 61.7nm,622nm,632nm,767nm,875nm And 966nm six wavelengths as the characteristic wavelengths.The microscopic images of these characteristic wavelengths were analyzed and found that the tissue structure of the mutton increased with the increase of the storage days.The results showed that the microstructure of the mutton can be analyzed by microscopic hyperspectral imaging.In this study,the freshness of mutton was used to characterize the freshness of mutton,and the texture features of mutant microscopic hyperspectral image were extracted.SVM method was used to divide the freshness grade of mutton,and The discriminant rates of the calibration sets were 98.33%and 91.67%respectively,and the discriminant rates of the forecast sets were 93.33%and 93.33%respectively.The SVM method was better.Therefore,the microscopic hyperspectral imaging technique combined with the appropriate algorithm,can achieve the freshness of mutton storage classification classification.Which laid the foundation for the study of the quality change mechanism in the process of lamb storage.