Rapid and non-invasive detection of fish microbial spoilage by visible and near infrared hyperspectral imaging and multivariate analysis

LWT

Volumn 62, Issue 2, 2015, Pages 1060-1068

  Cheng, Jun Hu ^a   Sun, Da Wen ^a,b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Grass carp fillet; Hyperspectral imaging; Prediction map; Successive projections algorithm (SPA); Total viable counts (TVC)

Indexed keywords

FISH; FORECASTING; INFRARED DEVICES; MEAN SQUARE ERROR; MULTIVARIANT ANALYSIS; SPECTROSCOPY; SPOILAGE; SUPPORT VECTOR MACHINES; SUPPORT VECTOR REGRESSION;

DETERMINATION COEFFICIENTS; GRASS CARP; LEAST SQUARE SUPPORT VECTOR MACHINES; PARTIAL LEAST SQUARE REGRESSION; ROOT MEAN SQUARE ERRORS; SUCCESSIVE PROJECTIONS ALGORITHMS (SPA); TOTAL VIABLE COUNTS; VISIBLE AND NEAR INFRARED;

HYPERSPECTRAL IMAGING;

CTENOPHARYNGODON;

EID: 84930327847     PISSN: 00236438     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.lwt.2015.01.021     Document Type: Article

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