矿产综合利用2024，Vol.45Issue(3)：81-85,5.DOI:10.3969/I,issn.1000-6532.2024.03.013
基于图像识别的高纯度云母矿分选研究
Study on Separation of High Purity Mica Ore Based on Image Recognition
王紫越 1张翼 1李星辉 2李俊 2牟少樊 1李佳楠1
作者信息
- 1. 武汉工程大学 资源与安全工程学院,湖北 武汉 430074
- 2. 湖北平安电工材料有限公司,湖北 咸宁 437000
- 折叠
摘要
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.关键词
工艺矿物学/片状云母/缺陷检测/图像处理Key words
Process mineralogy/Mica/Defect detection/Image processing分类
矿业与冶金引用本文复制引用
王紫越,张翼,李星辉,李俊,牟少樊,李佳楠..基于图像识别的高纯度云母矿分选研究[J].矿产综合利用,2024,45(3):81-85,5.
