Study on Separation of High Purity Mica Ore Based on Image Recognition

WANG Ziyue; ZHANG Yi; LI Xinghui; LI Jun; MOU Shaofan; LI Jianan

doi:10.3969/j.issn.1000-6532.2024.03.013

2024 No. 3

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Article navigation > Multipurpose Utilization of Mineral Resources > 2024 > 45(3): 81-85

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WANG Ziyue, ZHANG Yi, LI Xinghui, LI Jun, MOU Shaofan, LI Jianan. Study on Separation of High Purity Mica Ore Based on Image Recognition[J]. Multipurpose Utilization of Mineral Resources, 2024, 45(3): 81-85. doi: 10.3969/j.issn.1000-6532.2024.03.013

Citation:

WANG Ziyue, ZHANG Yi, LI Xinghui, LI Jun, MOU Shaofan, LI Jianan. Study on Separation of High Purity Mica Ore Based on Image Recognition[J]. Multipurpose Utilization of Mineral Resources, 2024, 45(3): 81-85. doi: 10.3969/j.issn.1000-6532.2024.03.013

Study on Separation of High Purity Mica Ore Based on Image Recognition

1.
School of Resource & Safety Engineering, Wuhan Institute of Technology, Wuhan 430074, Hubei, China
2.
Pamica Technology Co., Ltd., Xianning 437000, Hubei, China

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Corresponding author: ZHANG Yi, 21601334@qq.com

Received Date: 26 August 2022

Publish Date: 25 June 2024

Abstract

Abstract

This is an article in the field of process mineralogy. In order to solve the problem of color spot impurity sorting in high-purity mica, a sorting method of mica containing impurities based on image processing is proposed in this article. According to the state of color spot impurities of mica under different light sources, the influence of image illumination environment is studied. On this basis, the processing methods such as Gaussian filtering and Canny edge detection are studied. Finally, the image recognition and discrimination of mica ores are realized accurately, and good results are obtained in the recognition of three different types of mica ores.
- Process mineralogy /
- Mica /
- Defect detection /
- Image processing

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References

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