反射光显微镜铁矿石图像数据集用于铁矿石表征.
Shama Firdaus1, Shamama Anwar1, Subrajeet Mohapatra1
1Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India.
Data in brief
|June 19, 2025
概括
这一数据集提供了铁矿石的563个反射光显微镜图像,以推进矿产加工中的计算机视觉应用. 目标是自动化化学广泛的任务,改进矿石分析和质量评估.
科学领域:
- 矿物学是什么?矿物学是什么?
- 材料科学 材料科学 材料科学
- 计算机视觉 计算机视觉
背景情况:
- 反射光显微镜 (RLM) 对于分析铁矿石特性至关重要.
- 目前的矿石分析方法可能是劳动密集型和耗时的.
研究的目的:
- 引入一个包含563张铁矿石RLM图像的综合数据集.
- 促进计算机视觉模型的开发,用于自动化矿石分析.
- 支持矿产加工和资源表征方面的研究.
主要方法:
- 收集了来自印度各种铁矿石矿的563张RLM图像.
- 将图像组织到"IronOreRLM"和"样本图像"文件中.
- 设计用于基于计算机视觉分析的数据集.
主要成果:
- 一个有价值的数据集,用于研究铁矿石特性 (元素组成,质量,结构).
- 可通过图像数据对矿石特性进行定量分析.
- 证明了自动化大量化学任务的潜力.
结论:
- IronOreRLM数据集是推动自动化矿物加工的重要资源.
- 应用于此数据集的计算机视觉技术可以增强矿石勘探和质量控制.
- 进一步的研究可以利用这一数据集进行各种矿物学研究.
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