Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

Food and Bioprocess Technology

Volumn 6, Issue 12, 2013, Pages 3613-3619

  Lorente, D ^a   Blasco, J ^a   Serrano, A J ^b   Soria Olivas, E ^b   Aleixos, N ^c   Gomez Sanchis J ^b  

^a INSTITUTO VALENCIANO DE INVESTIGACIONES AGRARIAS IVIA   (Spain)

^b UNIVERSITY OF VALENCIA   (Spain)

^c UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Citrus fruit; Computer vision; Decay; Feature selection; Hyperspectral imaging; Non destructive inspection; ROC curve

Indexed keywords

DECAY; FEATURE SELECTION METHODS; HYPERSPECTRAL IMAGING; HYPERSPECTRAL IMAGING SYSTEMS; NON DESTRUCTIVE INSPECTION; RECEIVER OPERATING CHARACTERISTIC CURVES; ROC CURVES; ULTRAVIOLET ILLUMINATION;

CITRUS FRUITS; COMPUTER VISION; DECAY (ORGANIC); FEATURE EXTRACTION;

SPECTROSCOPY;

CITRUS; FUNGI;

EID: 84886089372     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-012-0951-1     Document Type: Article

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