Identification of crack features in fresh jujube using Vis/NIR hyperspectral imaging combined with image processing

Computers and Electronics in Agriculture

Volumn 103, Issue , 2014, Pages 1-10

  Yu, Keqiang ^a   Zhao, Yanru ^a   Li, Xiaoli ^a,b   Shao, Yongni ^a,b   Zhu, Fengle ^a   He, Yong ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

Author keywords

Chemometrics; Crack feature; Fresh jujube; Hyperspectral imaging; Identification

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

CHEMOMETRICS; FRESH JUJUBE; HYPERSPECTRAL IMAGING; IMAGE PROCESSING ALGORITHM; INDEPENDENT COMPONENT ANALYSIS(ICA); LEAST SQUARES SUPPORT VECTOR MACHINES; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); RECEIVER OPERATING CHARACTERISTICS CURVES (ROC);

CRACK DETECTION;

ACCURACY ASSESSMENT; ALGORITHM; CRACK PROPAGATION; FRUIT; IMAGE PROCESSING; LEAST SQUARES METHOD; NUMERICAL MODEL; WAVE ACTION;

EID: 84894376967     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.01.016     Document Type: Article

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