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Multivariate image analysis in the process industries: A review

Monitoring of mineral processing systems by using textural image analysis. Melissa Kistner G. T. Jemwa C. Aldrich. ... image analysis as well as Multiresolution analysis have been shown to be very efficient methods for spectral/textural analysis of process images and could be used for developing new vision sensors for …

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Iron ore textural information is the key for prediction of …

The use of mineralogical information in mineral processing operations has been studied by Lotter (2011) and Whiteman et al. (2016), with both studies demonstrating the increase of metal recovery ...

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Online monitoring and control of froth flotation systems with machine

Fig. 2 gives an indication of the application of froth imaging systems in the mineral processing industry, based on an analysis of the open literature conducted by the authors. The majority of applications (approximately 48.2%) have been reported in the base metals (BM) industry, which mostly includes copper, lead and zinc, with a few papers ...

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Monitoring of mineral processing systems by using textural …

Kistner et al. (2013) proposed an image analysis technique for monitoring mineral processing systems. The study utilized the texture features of the image for …

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Monitoring of mineral processing systems by using textural …

In the last few decades, developments in machine vision technology have led to innovative approaches to the control and monitoring of mineral processing systems. Image representation plays an important role in the performance of the recognition systems used in these approaches, where the use of feature representations based on second-order ...

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Estimation of alumina content of anode cover materials using

Monitoring of mineral processing systems by using textural image analysis. Melissa Kistner G. T. Jemwa C. Aldrich. Computer Science, Engineering. 2013; 55. Save. ... An on-line digital imaging system is developed for monitoring flames in an industrial boiler system.

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Flotation froth image classification using convolutional …

In recent years, the use of machine vision systems for monitoring and control of the flotation plants has significantly increased. The classification of froth images is a critical step in development of an on-line machine vision based control system. ... Monitoring of mineral processing systems by using textural image analysis. Miner. …

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Integrated textural and geochemical analysis of igneous …

Mechanisms relating to growth and/or compositional modification of zircon occur at the atomic scale. For felsic igneous systems, processes responsible for growth …

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Monitoring of mineral procesing systems by using textural …

Monitoring of mineral procesing systems by using textural image analysis Monitoring of mineral procesing systems by using textural image analysis. Date. 2013. Authors. Kistner M. Jemwa GT. Aldrich C. Journal Title. Journal ISSN. Volume Title. Publisher. PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, …

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Monitoring of mineral processing systems by using …

the control and monitoring of mineral processing systems. Image representation plays an important role in the performance of the recognition systems used in these approaches, …

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Estimating size fraction categories of coal particles on …

Monitoring of mineral processing systems by using textural image analysis ... developments in machine vision technology have led to innovative approaches to the control and monitoring of mineral ...

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[PDF] Monitoring of Flotation Systems by Use of …

Froth image analysis has been considered widely in the identification of operational regimes in flotation circuits, the characterisation of froths in terms of bubble size distributions, froth stability and local froth velocity patterns, or as a basis for the development of inferential online sensors for chemical species in the froth. Relatively …

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Online monitoring and control of froth flotation systems …

Monitoring of mineral processing systems by using textural image analysis. Aldrich, Chris; Kistner, M.; Jemwa, G. (2013) In the last few decades, developments in machine vision technology have led to innovative approaches to the control and monitoring of mineral processing systems. Image representation plays an important role in the …

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Polyphosphates in Food Systems: their roles and applications …

The use of PolyPs in food processing holds significant potential for enhancing food quality and nutritional value. Additionally, their ability to fortify foods with essential …

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Minerals | Free Full-Text | Monitoring of Flotation …

Froth image analysis has been considered widely in the identification of operational regimes in flotation circuits, the characterisation of froths in terms of bubble size distributions, froth stability and local …

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Monitoring of mineral processing systems by using textural …

Feature extraction from image data is important in mineral processing. • More informative features can be extracted by use of higher order methods. • Steerable …

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Automatic Control in Mineral Processing Plants: an Overview.

The textural features can be separately obtained by techniques such that Wavelet Texture Analysis, or jointly with spectral analysis. ... 185-203 Mirabedini A. and D. Hodouin (1998) Calculation of variance and covariance of sampling errors in complex mineral processing systems, using state-space dynamic models. Int. J. Miner. …

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Application of Texture Features and Machine Learning Methods …

Monitoring of mineral processing systems by using textural image analysis. Miner Eng 52:169--77. Ko YD, Shang H (2011). A neural network-based soft sensor for particle size distribution using image analysis. Powder Technol 212:359 -- 366. Kwan A, Mora C, Chan H (1999). Particle shape analysis of coarse aggregate using …

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Mineral Processing Research Articles

Platinum-Group Minerals in Chromitites Intrusion Magmatic Origin Low-Temperature Reworking Serpentinization Lateritic Weathering Integration of OHS into Risk Management in an Open-Pit Mining Project in Quebec (Canada) Integrated Approaches for the Study of Real Mineral Flotation Systems Study on the Optimization of the Industrial …

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Monitoring of mineral processing systems by using textural …

In this paper, the use of different texture feature representations in two important areas in mineral processing was investigated, namely grade control in froth …

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Texture features for bulk rock material grain boundary …

Monitoring of mineral processing systems by using textural image analysis. Melissa Kistner G. T. Jemwa C. Aldrich. Computer Science, Engineering. 2013; 55. ... These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image ...

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Estimating size fraction categories of coal particles on …

Monitoring of mineral processing systems by using textural image analysis. Aldrich, Chris; Kistner, M.; Jemwa, G. (2013) In the last few decades, developments in machine vision technology have led to innovative approaches to the control and monitoring of mineral processing systems. Image representation plays an important role in the …

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Analysis of ore particles based on textural pattern recognition

Monitoring of mineral processing systems by using textural image analysis. Melissa Kistner G. T. Jemwa C. Aldrich. Computer Science, Engineering. 2013; 55. ... to develop an expert system for online ore quality monitoring to control the ore blending in the feed ore circuits as well as separating gangue minerals present in …

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Machine learning applications in minerals processing: A …

This case study explores how much information and value can be extracted from the process monitoring data using data-driven methods and suggests to use machine learning methods outputs as virtual advisors to aid decision-making done by domain experts. ... Monitoring of mineral processing systems by using textural …

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Monitoring of Froth Flotation with Transfer Learning and …

Monitoring of mineral processing systems by using textural image analysis ... developments in machine vision technology have led to innovative approaches to the control and monitoring of mineral ...

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Prediction of Froth Flotation Performance Using …

Froth flotation is a well-established beneficiation process that is widely used for the separation of the value from the unwanted gangue minerals in mineral processing plants [].Despite extensive research in modeling and simulation of the flotation process and recent developments in instrumentation and process control systems, optimizing …

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Online Analysis of Coal on A Conveyor Belt by use of …

The objective of this project is to explore the use of image analysis to quantify the amount of fines present for different coal samples under conditions simulating the coal on conveyor belts similar to those being used by for gasification purposes. The application of machine vision systems to measure particle size distributions has …

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Monitoring of mineral processing systems by using textural …

In the last few decades, developments in machine vision technology have led to innovative approaches to the control and monitoring of mineral processing systems. Image representation plays an important role in the performance of the recognition systems used in these approaches, where the use of feature representations based on second-order …

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Multivariate image processing in minerals engineering with …

The appearance of the coal ore on the conveyor belt was cast as a textural pattern recognition problem and the results are reported based on the smaller 568 × 426-pixel images. ... Monitoring of mineral processing systems by using textural image analysis. Miner. Eng., 52 (2013), pp. 169-177, 10.1016/j.mineng.2013.05.022.

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Application of data analytics and knowledge-based systems in mineral …

Semantic Scholar extracted view of "Application of data analytics and knowledge-based systems in mineral processing" by C. Aldrich ... Monitoring of mineral processing systems by using textural image analysis ... approach based on fuzzy logic to qualitatively evaluate the energy demand associated with an industrial cooling …

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