Potential of hyperspectral imaging and pattern recognition for categorization and authentication of red meat

Innovative Food Science and Emerging Technologies

Volumn 16, Issue , 2012, Pages 316-325

  Kamruzzaman, Mohammed ^a   Barbin, Douglas ^a   Elmasry, Gamal ^a   Sun, Da Wen ^a   Allen, Paul ^b  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b ASHTOWN FOOD RESEARCH CENTRE   (Ireland)

Author keywords

Categorization and authentication; Hyperspectral imaging; Multivariate analysis; Red meat

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; DERIVATIVE SPECTRA; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGING; HYPERSPECTRAL IMAGING SYSTEMS; LONGISSIMUS; MEAT INDUSTRY; MEAT SAMPLES; MINCED MEAT; MULTI VARIATE ANALYSIS; PARTIAL LEAST SQUARES-DISCRIMINANT ANALYSIS; PATTERN RECOGNITION ALGORITHMS; RAPID METHOD; RED MEATS; SECOND DERIVATIVES; SPECTRAL DATA; VALIDATION SETS;

ALGORITHMS; AUTHENTICATION; FAULT TOLERANT COMPUTER SYSTEMS; IMAGE PROCESSING; IMAGING TECHNIQUES; MULTIVARIANT ANALYSIS; NATURAL LANGUAGE PROCESSING SYSTEMS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY;

MEATS;

EID: 84870560146     PISSN: 14668564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ifset.2012.07.007     Document Type: Article

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