Hyperspectral Imaging-Based Classification and Wavebands Selection for Internal Defect Detection of Pickling Cucumbers

Food and Bioprocess Technology

Volumn 7, Issue 6, 2014, Pages 1689-1700

  Cen, Haiyan ^a   Lu, Renfu ^b   Ariana, Diwan P ^a   Mendoza, Fernando ^b  

^a Michigan State University   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Defect detection; Grading; Hyperspectral imaging; LED light; Minimum redundancy maximum relevance; Reflectance; Transmittance

Indexed keywords

CONVEYORS; DEFECTS; DISCRIMINANT ANALYSIS; GRADING; IMAGE ANALYSIS; PICKLING; REDUNDANCY; REFLECTION; SPECTROSCOPY; SPEED;

DEFECT DETECTION; HYPERSPECTRAL IMAGE DATAS; HYPERSPECTRAL REFLECTANCE; INTERNAL DEFECT DETECTION; LED LIGHTS; MINIMUM REDUNDANCY-MAXIMUM RELEVANCES; THREE-CLASS CLASSIFICATION; TRANSMITTANCE;

HYPERSPECTRAL IMAGING;

CUCUMIS SATIVUS;

EID: 84899926567     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-013-1177-6     Document Type: Article

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