Hybrid Seed Recognition of Maize Based on Probability Clustering Model Using Visible Light Color Features

LIU Shuang-xi; ZHANG Hong-jian; WANG Jin-xing; WANG Zhen; ZHANG Chun-qing; LI Yan

doi:10.3964/j.issn.1000-0593(2018)08-2516-08

Journals >Spectroscopy and Spectral Analysis >Volume 38 >Issue 8 >Page 2516 > Article

Spectroscopy and Spectral Analysis
Vol. 38, Issue 8, 2516 (2018)

Hybrid Seed Recognition of Maize Based on Probability Clustering Model Using Visible Light Color Features

LIU Shuang-xi^1、*, ZHANG Hong-jian¹, WANG Jin-xing², WANG Zhen¹, ZHANG Chun-qing³, and LI Yan³

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2018)08-2516-08 Cite this Article

LIU Shuang-xi, ZHANG Hong-jian, WANG Jin-xing, WANG Zhen, ZHANG Chun-qing, LI Yan. Hybrid Seed Recognition of Maize Based on Probability Clustering Model Using Visible Light Color Features[J]. Spectroscopy and Spectral Analysis, 2018, 38(8): 2516 Copy Citation Text

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References

[3] Alireza Bagheri, Yaser Nikparast. Journal of Biological Environmental and Agricultural Sciences, 2016, (1): 29.

[4] Mirolyub I, Mladenov Martin P, Dejanov, et al. Journal of Food Measurement and Characterization, 2014, 8(3): 180.

[5] Israt Jahan, Md Golam Moazzam, Akkas Ali K M, et al. Canadian Journal of Pure and Applied Sciences, 2015, 9(3): 3423.

[12] Mladenov M I, Penchev S M, Dejanov M P, et al. Journal of Food Measurement and Characterization, 2011, 5(3): 111.

[14] Balasubramaniam P, Ananthi V P. Nonlinear Dynamics, 2016, 83(1): 849.

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