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Study on Separation of High Purity Mica Ore Based on Image Recognition
- Source :
- Kuangchan zonghe liyong, Vol 45, Iss 3, Pp 81-85 (2024)
- Publication Year :
- 2024
- Publisher :
- Institute of Multipurpose Utilization of Mineral Resources, Chinese Academy of Geological Sciences, 2024.
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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.
Details
- Language :
- Chinese
- ISSN :
- 10006532
- Volume :
- 45
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- Kuangchan zonghe liyong
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b854890331ef4b359da77f2a48a5fd3d
- Document Type :
- article
- Full Text :
- https://doi.org/10.3969/j.issn.1000-6532.2024.03.013