Classification of Korla fragrant pears using NIR hyperspectral imaging analysis

Xiuqin Rao; Chun-Chieh Yang; Yibin Ying; Moon S. Kim; Kuanglin Chao

doi:10.1117/12.922686

4 May 2012 Classification of Korla fragrant pears using NIR hyperspectral imaging analysis

Xiuqin Rao, Chun-Chieh Yang, Yibin Ying, Moon S. Kim, Kuanglin Chao

Proceedings Volume 8369, Sensing for Agriculture and Food Quality and Safety IV; 83690Y (2012) https://doi.org/10.1117/12.922686
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Xiuqin Rao, Chun-Chieh Yang, Yibin Ying, Moon S. Kim, and Kuanglin Chao "Classification of Korla fragrant pears using NIR hyperspectral imaging analysis", Proc. SPIE 8369, Sensing for Agriculture and Food Quality and Safety IV, 83690Y (4 May 2012); https://doi.org/10.1117/12.922686

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