The European Union Long Term Research (LTR) project, concerning the characterization of flotation froth structure and color by machine vision (ChaCo), has been developed with the aim to point out new process parameters, based on froth image inspection, to integrate with the commonly utilized process variables detected for the control of the flotation processes. The main purposes of the project were: – to analyze the mineral concentration of the flotation froth from the color of froths of different structures; – to design an on-line froth analyzer by developing software for the color and structure analysis of the froth and for classification using statistical and neural network methods; – to develop process models and control methods util...
Traditionally, operators on mineral flotation plants have relied on visual inspection of the froth s...
Substantial progresses have been made over the past decade in using machine vision for automatic con...
A novel froth image analysis based production condition recognition method is presented to identify ...
In the framework of the EU Esprit LTR Project N° 24931 ChaCo “The characterisation of flotation frot...
It is well known and well recognised that flotation is a process that is complex to monitor and stud...
The rapid developments in computer vision, computational resources and artificial intelligence, and ...
In the mineral production industry, the separation of valuable material from waste material is gener...
The estimation of metallurgical parameters of flotation process from froth visual features is the ul...
Integrated hardware and software (HW&SW) solutions are very cheap and easy to implement at industria...
The personal computer revolution has resulted in the widespread availability of low-cost image analy...
Flotation froth digital images collection allows their description by parameters extracted adopting ...
Recent developments in machine vision, applied to froth flotation, show the potential for the use of...
Flotation is one of the most well-known mineral separation methods. In flotation process hydrophobic...
The use of machine vision in the monitoring and control of metallurgical plants has become a very at...
Includes bibliographical references.This dissertation describes the use of a machine vision system t...
Traditionally, operators on mineral flotation plants have relied on visual inspection of the froth s...
Substantial progresses have been made over the past decade in using machine vision for automatic con...
A novel froth image analysis based production condition recognition method is presented to identify ...
In the framework of the EU Esprit LTR Project N° 24931 ChaCo “The characterisation of flotation frot...
It is well known and well recognised that flotation is a process that is complex to monitor and stud...
The rapid developments in computer vision, computational resources and artificial intelligence, and ...
In the mineral production industry, the separation of valuable material from waste material is gener...
The estimation of metallurgical parameters of flotation process from froth visual features is the ul...
Integrated hardware and software (HW&SW) solutions are very cheap and easy to implement at industria...
The personal computer revolution has resulted in the widespread availability of low-cost image analy...
Flotation froth digital images collection allows their description by parameters extracted adopting ...
Recent developments in machine vision, applied to froth flotation, show the potential for the use of...
Flotation is one of the most well-known mineral separation methods. In flotation process hydrophobic...
The use of machine vision in the monitoring and control of metallurgical plants has become a very at...
Includes bibliographical references.This dissertation describes the use of a machine vision system t...
Traditionally, operators on mineral flotation plants have relied on visual inspection of the froth s...
Substantial progresses have been made over the past decade in using machine vision for automatic con...
A novel froth image analysis based production condition recognition method is presented to identify ...