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- W2375316439 abstract "In order to explore the feasibility of hyperspectral imaging technique to test the color parameters of fresh beef in Xinjiang,hyperspectral images of 78 beef samples were acquired.Color parameters,including brightness(L*),redness(a*),yellowness(b*)and saturation(C*)were also determined.Their representative spectra were obtained by selecting regions of interest(ROIs).By selecting the preprocessing methods of multiplicative scatter correction(MSC),Savitzky-Golay(SG)smoothing,1 Derivative and Mean centering,etc,optimum stepwise multiple linear regression(SMLR)calibration models of beef color parameters were established and evaluated,respectively.As for L*,a*,b*and C*,wavelength numbers selected were 7,11,4 and 9,the correlation coefficients(R)of calibration were 0.92,0.85,0.86 and 0.81,and root mean square errors of calibration(RMSEC)were 1.55,1.54、0.83 and 1.83,respectively.The correlation coefficients(r)of prediction were 0.91,0.84,0.92 and 0.86,and root mean square errors of prediction(RMSEP)were 1.71,1.62,0.81 and 1.68,respectively.The results showed that hyperspectral imaging technique could be used to rapidly and non-destructively test color parameters of fresh beef in Xinjiang." @default.
- W2375316439 created "2016-06-24" @default.
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- W2375316439 date "2013-01-01" @default.
- W2375316439 modified "2023-09-23" @default.
- W2375316439 title "Analysis of Color Parameters of Fresh Beef in Xinjiang Based on Hyperspectral Imaging and Stepwise Multiple Linear Regression(SMLR)" @default.
- W2375316439 hasPublicationYear "2013" @default.
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