Abstract Machine vision is widely used in the monitoring of froth flotation plants as a means
to assist control operators on the plant. While these systems have a mature ability to analyse …

Research and development into the application of machine vision in froth flotation systems
has continued since its introduction in the late 1980s. Machine vision is able to accurately …

It is widely accepted that mineral flotation is a very challenging control problem due to
chaotic nature of process. This paper introduces a novel approach of combining multi …

The rapid developments in computer vision, computational resources and artificial
intelligence, and the integration of these technologies are creating new possibilities in the …

The development of robust automatic control systems has proved difficult because of the
complexity of the problem. Flotation is notorious for its susceptibility to process upsets and …

As the most important separation technique in mineral processing, flotation has been the
subject of intensive investigation over many years, but despite these efforts it remains a …

This paper describes a set of image segmentation algorithms for mineral froth images,
based on gray-value valley detection and a kind of image classification. The size, shape …

It is well known and well recognised that flotation is a process that is complex to monitor and
study if a classical approach based on the evaluation of the signals resulting from sensors is …

By making use of grey level dependence matrix methods, digitized images of the froth
phases in a copper flotation plant were reduced to feature vectors without losing essential …

The current of batch flotation froth modelling is critically reviewed in order to identify its
significance and usefulness, particularly in the scale-up of batch data to a continuous …