Optical scattering with hyperspectral imaging to classify longissimus dorsi muscle based on beef tenderness using multivariate modeling

Meat Science

Volumn 95, Issue 1, 2013, Pages 42-50

  Cluff, Kim ^a   Konda Naganathan, Govindarajan ^a   Subbiah, Jeyamkondan ^a   Samal, Ashok ^a   Calkins, Chris R ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Beef tenderness; Computer vision; Linear discriminant analysis; Lorentzian distribution function; Optical scattering; Principal component analysis

Indexed keywords

BEEF TENDERNESS; CLASSIFICATION ACCURACY; HYPERSPECTRAL IMAGING SYSTEMS; HYPERSPECTRAL SCATTERINGS; LINEAR DISCRIMINANT ANALYSIS; LINEAR DISCRIMINANT MODEL; LORENTZIAN DISTRIBUTION FUNCTIONS; OPTICAL SCATTERING;

COMPUTER VISION; FACE RECOGNITION; LIGHT SCATTERING; MUSCLE; NONDESTRUCTIVE EXAMINATION; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY;

MEATS;

ANIMAL; ARTICLE; CALIBRATION; CATTLE; CHEMISTRY; COOKING; IMAGE PROCESSING; MEAT; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; SKELETAL MUSCLE; THEORETICAL MODEL; ANALYSIS; BOVINAE; PROCEDURES;

ANIMALS; CALIBRATION; CATTLE; COOKING; IMAGE PROCESSING, COMPUTER-ASSISTED; MEAT; MODELS, THEORETICAL; MUSCLE, SKELETAL; PRINCIPAL COMPONENT ANALYSIS;

EID: 84877315220     PISSN: 03091740     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.meatsci.2013.04.014     Document Type: Article

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