Expert system based on computer vision to estimate the content of impurities in olive oil samples

Journal of Food Engineering

Volumn 119, Issue 2, 2013, Pages 220-228

  Cano Marchal, P ^a   Martinez Gila D ^a   Gamez Garcia J ^a   Gomez Ortega J ^a  

^a UNIVERSITY OF JAÉN   (Spain)

Author keywords

Artificial neural networks; Computer vision; Olive oil; Olive oil analysis; Support vector machines

Indexed keywords

APPROXIMATE METHODS; CLASSIFICATION RATES; IMPURITY REMOVAL; KERNEL PRINCIPAL COMPONENT; NONLINEAR FEATURES; OIL ANALYSIS; SEPARATION PROCESS; SUPPORT VECTOR MACHINE (SVMS);

COMPUTER VISION; EXPERT SYSTEMS; FEATURE EXTRACTION; IMPURITIES; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REMOVAL; SUPPORT VECTOR MACHINES;

OLIVE OIL;

EID: 84879306013     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.05.032     Document Type: Article

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