Variety Discrimination for Single Rice Seed by Integrating Spectral, Texture and Morphological Features Based on Hyperspectral Image

Deng Xiaoqin; Zhu Qibing; Huang Min

doi:10.3788/lop52.021001

Journals >Laser & Optoelectronics Progress >Volume 52 >Issue 2 >Page 21001 > Article

Laser & Optoelectronics Progress
Vol. 52, Issue 2, 21001 (2015)

Variety Discrimination for Single Rice Seed by Integrating Spectral, Texture and Morphological Features Based on Hyperspectral Image

Deng Xiaoqin^*, Zhu Qibing, and Huang Min

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[in Chinese]

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DOI: 10.3788/lop52.021001 Cite this Article Set citation alerts

Deng Xiaoqin, Zhu Qibing, Huang Min. Variety Discrimination for Single Rice Seed by Integrating Spectral, Texture and Morphological Features Based on Hyperspectral Image[J]. Laser & Optoelectronics Progress, 2015, 52(2): 21001 Copy Citation Text

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