A Method for Rapid Identification of Rice Origin by Hyperspectral Imaging Technology
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- 作者：Jun Sun ; Xinzi Lu ; Hanping Mao ; Xiaming Jin and Xiaohong Wu
- 刊名：Journal of Food Process Engineering
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：40
- 期：1
- 全文大小：1816K
- ISSN：1745-4530
文摘
The potential of hyperspectral imaging system was evaluated for the rapid identification of rice origin. 240 samples from four different regions of China were imaged by a hyperspectral imaging system. Hyperspectral images were studied from the three principal aspects (spectral, morphological and texture features). Support vector machine was used for developing the identification models. Seven models based on spectral, morphological, texture, combined spectral and morphological, combined spectral and texture, combined morphological and texture and combined spectral, morphological and texture features were developed for seeking the optimal feature combination. Nine important wavelengths were determined by principal component analysis. The results showed that the highest accuracy (91.67%) was obtained from combined spectral, morphological and texture features. This study demonstrated that hyperspectral imaging could provide a rapid identification of rice origin and the method of feature combination could be very helpful to improve the performance of identification models.