Study of spatially resolved hyperspectral scattering images for assessing beef quality characteristics

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 30, Issue 7, 2010, Pages 1815-1819

  Wu, Jian Hu ^a   Peng, Yan Kun ^a   Chen, Jing Jing ^a   Wang, Wei ^a   Gao, Xiao Dong ^a   Huang, Hui ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Beef quality; Hyperspectral scattering imaging; Lorentzian distribution function; Multi linear regression

Indexed keywords

BEEF QUALITY; CLASSIFICATION ACCURACY; COLOR PARAMETER; CROSS VALIDATION; CROSS-VALIDATION METHODS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; LORENTZIAN DISTRIBUTIONS; MEASURING PH; MULTI-LINEAR REGRESSION; MULTISPECTRAL SYSTEMS; OPTICAL SCATTERING; OPTIMAL COMBINATION; PEAK HEIGHT; PH VALUE; QUALITY CHARACTERISTIC; SCATTERING IMAGE; SCATTERING TECHNIQUES; SCATTERING WIDTH; SHEAR FORCE; SPATIALLY RESOLVED; STANDARD ERRORS; STEPWISE REGRESSION; THREE PARAMETERS;

COLOR; DISTRIBUTION FUNCTIONS; FORECASTING; IMAGE PROCESSING; LINEAR REGRESSION; MEATS; OPTIMIZATION; PH EFFECTS;

SCATTERING;

ANALYSIS; ANIMAL; BOVINE; COLOR; FOOD QUALITY; MEAT; SKELETAL MUSCLE; SPECTROSCOPY; STATISTICAL MODEL;

ANIMALS; CATTLE; COLOR; FOOD QUALITY; LINEAR MODELS; MEAT; MUSCLE, SKELETAL; SPECTRUM ANALYSIS;

EID: 77954353639     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2010)07-1815-05     Document Type: Article

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