Zhang Chen, Liu Shuyang, Zhao Anna, Wang Tianhe, Jia Xiaodong. Research on classification and recognition system based on miniaturized portable spectral imaging technology[J]. Infrared and Laser Engineering, 2019, 48(10): 1023001-1023001(6). doi: 10.3788/IRLA201948.1023001
| Citation:
|
Zhang Chen, Liu Shuyang, Zhao Anna, Wang Tianhe, Jia Xiaodong. Research on classification and recognition system based on miniaturized portable spectral imaging technology[J]. Infrared and Laser Engineering, 2019, 48(10): 1023001-1023001(6). doi: 10.3788/IRLA201948.1023001
|
Research on classification and recognition system based on miniaturized portable spectral imaging technology
- Received Date: 2019-05-05
- Rev Recd Date:
2019-06-15
- Publish Date:
2019-10-25
-
Abstract
Miniaturized portable spectral imaging was increasingly used in daily life, providing more convenience for people's lives. Citrus was one of the fruits that people often eat and store in their daily life. In the smart refrigerator, citrus was not conducive to identification and classification due to similar varieties. Spectral imaging technology used its characteristic wavelengths to realize its recognition. A new type of single-chip spectral imaging chip was used to build a compact and portable spectral imaging system. Spectral recognition technology was used to realize the classification and identification of citrus fruits, and cross-validation was carried out by batch samples, simultaneously establish the relationship between spectral resolution and accuracy, by constraining the spectral resolution, which effectively improved the classification and recognition accuracy of citrus fruits. Spectral resolution was less than 20 nm, and recognition accuracy could reach more than 95%.
-
References
|
[1]
|
Gowen A A, Donnell C P, Cullen P J, et al. Hyperspectral imaging-an emerging process analytical tool for food quality and safety control[J]. Trends in Food Science Technology, 2007, 18(12):590-598. |
|
[2]
|
Gayen S, Alfano R. Sensing lesions in tissues with light[J]. Optics Express, 1999, 4(11):475-480. |
|
[3]
|
Saari H, Pellikka I, Pesonen L, et al. Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications[C]//Proceedings of SPIE,the International Society for Optical Engineering, 2011, 8174:466-471. |
|
[4]
|
Pu Ruiliang, Gong Peng. Hyperspectral Remote Sensing Technology and Applications[M]. Beijing:Higher Education Press, 2000.(in Chinese) |
|
[5]
|
Tack N, Lambrechts A, Soussan P, et al. A compact, high-speed, and low-cost hyperspectral imager[C]//Proceedings of SPIE, the International Society for Optical Engineering, 2012, 8266:16. |
|
[6]
|
Geelen B, Tack N, Lambrechts A. A compact snapshot multispectral imager with a monolithically integrated per-pixel filter mosaic[C]//Proceedings of SPIE, the International Society for Optical Engineering, 2014:8974. |
|
[7]
|
Geelen B, Tack N, Lambrechts A, et al. A snapshot multispectral imager with integrated tiled filters and optical duplication[C]//Proceedings of SPIE, the International Society for Optical Engineering, 2013, 8613:861314. |
|
[8]
|
Liu Shuyang, Zhang Chen, Zhang Yunhao, et al. Miniaturized spectral imaging for environment surveillance based on UAV platform[C]//AOPC 2017:Optical Spectroscopy and Imaging, 2017:10461. |
|
[9]
|
Liu Shuyang,Zhou Tao,Jia Xiaodong, et al. Feasibility study of a novel miniaturized spectral imaging system architecture in UAV surveillance[C]//International Society for Optics and Photonics, 2016. |
|
[10]
|
Liu Shuyang,Zhou Tao,Jia Xiaodong, et al. Study on monolithically integration miniaturized spectral imager by Fabry-Perot with Bragg stack[C]//International Society for Optics and Photonics, 2016. |
|
[11]
|
Lo E, Ientilucci E. Transformation for target detection in hyperspectral imaging[C]//Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 2017. |
-
-
Proportional views
-
DownLoad: