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
这是一篇工艺矿物学领域的论文.为了解决高纯度云母中色斑杂质分选难的问题,本文提出一种基于图像处理的含杂质云母的分选方法,针对云母在不同光源条件下色斑杂质所呈现的状态,研究了图像光照环境的影响,并在此基础上对所获取图像进行高斯滤波、canny边缘检测等处理方法的研究,最终准确地实现云母矿的图像识别与区分,并在三种不同种类的云母矿识别中取得较好的效果.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据