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Proceedings Paper

Classification of Korla fragrant pears using NIR hyperspectral imaging analysis
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Paper Abstract

Korla fragrant pears are small oval pears characterized by light green skin, crisp texture, and a pleasant perfume for which they are named. Anatomically, the calyx of a fragrant pear may be either persistent or deciduous; the deciduouscalyx fruits are considered more desirable due to taste and texture attributes. Chinese packaging standards require that packed cases of fragrant pears contain 5% or less of the persistent-calyx type. Near-infrared hyperspectral imaging was investigated as a potential means for automated sorting of pears according to calyx type. Hyperspectral images spanning the 992-1681 nm region were acquired using an EMCCD-based laboratory line-scan imaging system. Analysis of the hyperspectral images was performed to select wavebands useful for identifying persistent-calyx fruits and for identifying deciduous-calyx fruits. Based on the selected wavebands, an image-processing algorithm was developed that targets automated classification of Korla fragrant pears into the two categories for packaging purposes.

Paper Details

Date Published: 4 May 2012
PDF: 8 pages
Proc. SPIE 8369, Sensing for Agriculture and Food Quality and Safety IV, 83690Y (4 May 2012); doi: 10.1117/12.922686
Show Author Affiliations
Xiuqin Rao, Zhejiang Univ. (China)
Chun-Chieh Yang, USDA Agricultural Research Service (United States)
Yibin Ying, Zhejiang Univ. (China)
Moon S. Kim, USDA Agricultural Research Service (United States)
Kuanglin Chao, USDA Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 8369:
Sensing for Agriculture and Food Quality and Safety IV
Moon S. Kim; Shu-I Tu; Kuanglin Chao, Editor(s)

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