Hyperspectral near-infrared imaging for the detection of physical damages of pear

Journal of Food Engineering

Volumn 130, Issue , 2014, Pages 1-7

  Lee, Wang Hee ^a   Kim, Moon S ^b   Lee, Hoonsoo ^a   Delwiche, Stephen R ^b   Bae, Hanhong ^c   Kim, Dae Yong ^a   Cho, Byoung Kwan ^a  

^a Chungnam National University   (South Korea)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c Yeungnam University   (South Korea)

Author keywords

F value classification algorithm; Hyperspectral imaging; Image processing; Near infrared spectrum; Pear bruise

Indexed keywords

AGRICULTURAL ROBOTS; DAMAGE DETECTION; FRUITS; IMAGE PROCESSING; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; THERMOGRAPHY (IMAGING);

CLASSIFICATION ALGORITHM; DETECTION METHODS; EFFECTIVE POTENTIALS; INTERNAL QUALITY FACTORS; NEAR INFRARED SPECTRA; NEAR-INFRARED IMAGING; PEAR BRUISE; POSTHARVEST QUALITY;

HYPERSPECTRAL IMAGING;

EID: 84893465569     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.12.032     Document Type: Article

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