Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles

Computers and Electronics in Agriculture

Volumn 74, Issue 1, 2010, Pages 137-144

  Ariana, Diwan P ^a   Lu, Renfu ^b  

^a Michigan State University   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Cucumbers; Hyperspectral imaging; Internal defect; Near infrared; Nondestructive; Pickles; Quality; Reflectance; Transmittance; Waveband selection

Indexed keywords

CUCUMBERS; HYPERSPECTRAL IMAGING; INTERNAL DEFECTS; NEAR INFRARED; NON DESTRUCTIVE; PICKLES; QUALITY; REFLECTANCE; TRANSMITTANCE; WAVEBAND SELECTION;

ALGORITHMS; INFRARED DEVICES; INSPECTION; LINEAR PROGRAMMING; PICKLING; REFLECTION; SPECTRAL RESOLUTION;

DEFECTS;

ALGORITHM; DETECTION METHOD; FOOD PROCESSING; FOOD QUALITY; FRUIT; IMAGE ANALYSIS; IMAGE CLASSIFICATION; NONDESTRUCTIVE TESTING; QUALITATIVE ANALYSIS; REFLECTANCE; SPECTRAL RESOLUTION; TRANSMITTANCE;

CUCUMIS SATIVUS;

EID: 77956918117     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2010.07.008     Document Type: Article

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