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浮选是选矿中最重要的分选技术。多年来浮选一直是集中研究的课题。尽管做了大量的努力，广泛地向有用的数学模型挑战还处于一个人们没有充分理解的阶段。因此，工业浮选厂的控制常常基于肉眼时泡沫阶段的观察，在很大程度上依靠经验和操作人员的能力。由于操作人员经常轮班，缺乏对工厂动态特性的了解，人工控制系统下精确或不可靠等等，所以这些浮选过程的控制常常不是最佳的。在一家铜浮选厂，采用了一些技术，这些技术以图家颜色分析和快速傅立叶转换到泡沫阶段的视频图像数据过程为基础，结果表明数据图像处理系统能区别粗选槽里泡沫中不同的铜水平面，从表面泡沫的可见特征提取总的特点，这样就有可能确定泡沫里矿物的含量（基于颜色）、平均泡的大小分布、流动方向、泡的形状或泡的活动性。分析总体的泡沫图像，而不是设法辨别泡之间的边界。
Flotation is the most important sorting technology in mineral processing. Flotation has been the subject of concentrated research over the years. Despite a great deal of effort, the challenge of using widely available mathematical models is still in a phase that people do not fully understand. Therefore, the control of industrial flotation plants is often based on the observation of the foam phase at the naked eye, largely relying on experience and operator capabilities. Control of these flotation processes is often not optimal due to frequent shifts of operators, lack of knowledge of plant dynamics, accuracy or unreliability of manual control systems, and the like. At a copper flotation plant, a number of technologies were used that were based on image-based color analysis and Fast Fourier Transform to Bubble-Phase video image data. The results show that the data-image processing system can distinguish between different Copper level, the general characteristics are extracted from the visible characteristics of the surface foam so that it is possible to determine the mineral content (based on color) in the foam, the average bubble size distribution, the direction of flow, the shape of the bubble or the activity of the bubble. Instead of trying to discern the boundaries between the bubbles, analyze the overall bubble image.