Coal-gangue Mixture Degree Recognition Using Different Illuminant Method in Underground Coal Mining

Jinwang Zhang; Lianghui Li

doi:10.1364/FIO.2019.JW4A.129

Frontiers in Optics + Laser Science APS/DLS
OSA Technical Digest (Optica Publishing Group, 2019),
paper JW4A.129
•https://doi.org/10.1364/FIO.2019.JW4A.129

Coal-gangue Mixture Degree Recognition Using Different Illuminant Method in Underground Coal Mining

Jinwang Zhang and Lianghui Li

Frontiers in Optics 2019

Washington, DC United States
15–19 September 2019
ISBN: 978-1-943580-67-5

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Poster Session IV (JW4A)

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J. Zhang and L. Li, "Coal-gangue Mixture Degree Recognition Using Different Illuminant Method in Underground Coal Mining," in Frontiers in Optics + Laser Science APS/DLS, OSA Technical Digest (Optica Publishing Group, 2019), paper JW4A.129.

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Abstract

Based on the advantages and shortages of Watershed Algorithm, the different illuminance method is proposed to analys the coal-gangue mixture degree, which the recognition accuracy and speed significantly outperforms state-of-the-art techniques.

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