The froth can be adopted as an indicator of the performance of flotation processes. The study of froth image structure would enable us to establish a number of parameters from which could convey the froth characteristics. To monitor the operating performance of the floatation cell by machine vision system, it is crucial to identify and extract those features that are descriptive of the surface froth. Consequently, it can provide interdependency between the froth characteristics with the operating conditions on one hand (e.g., aeration rate, froth depth, chemical compound and pH variation) and the cell parameters performance on the other hand, as well (e.g., copper grade, recovery and solid contents). The aim of the present study is to examine the copper froth characteristics, by adopting an image analysis technique and hence evaluating froth features such as the average bubble size, bubbles distribution, bubble shape features, bubble elongation factor, image average color and the color distribution. Owing to the intricacy aspect of the froth structure and in order to match properly between the real froth and the segmentation images, this algorithm adopts features similar to proper filters in the pre-processing stage, edge detection functions, threshold functions and different mathematical morphology models. The findings of this work reveal that the size and shape of the froth bubbles plays an important role in classifying the froth. Hence, it is possible to incorporate such features for either evaluating the flotation cell performance or adopting it for the automatic on-line control of the flotation process. The findings of this research could also be implemented towards the training of the operators.
| Published in | American Journal of Chemical Engineering (Volume 1, Issue 4) |
| DOI | 10.11648/j.ajche.20130104.12 |
| Page(s) | 70-78 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Image Analysis, Copper Grade, Flotation, Froth Color, Bubble Size, Bubble Distribution
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| [5] | R.H. Estrada-Ruiz, "Neural Networks to Estimate Bubble Diameter and Bubble Size Distribution of Flotation Froth Surfaces - Synopsis" The Journal of The Southern African Institute of Mining and Metallurgy, vol. 9, p. 9, 2009. |
| [6] | C. Aldrich, "Development of Fuzzy Rule-Based Systems for Industrial Flotation Plants by Use of Inductive Techniques and Genetic Algorithms," JSAIMM, p. 6, 2009. |
| [7] | E.T. Woodburn, J.B. Stockton and D.J. Robbins," Vision-Based Characterization of Three Phase Froths," International Colloquium Developments in Froth Flotation, vol. 1, pp. 1-30, 1989. |
| [8] | G. Bonifazi, P. Massascci, A. Meloni, "3D Froth Modeling by Image Analysis," Proc. XXI Int. Min. Proc. Cong., B8a-178-B8a-189, 2001. |
| [9] | H.H.A. Shirazi, "Application of froth image analysis in mineral industry," PhD Thesis, 1997. |
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APA Style
Nasser Saghatoleslami, Hajir Karimi. (2014). Image Analysis Technique as a Tool for Extracting Features from the Copper Surface Froth in the Flotation Process. American Journal of Chemical Engineering, 1(4), 70-78. https://doi.org/10.11648/j.ajche.20130104.12
ACS Style
Nasser Saghatoleslami; Hajir Karimi. Image Analysis Technique as a Tool for Extracting Features from the Copper Surface Froth in the Flotation Process. Am. J. Chem. Eng. 2014, 1(4), 70-78. doi: 10.11648/j.ajche.20130104.12
AMA Style
Nasser Saghatoleslami, Hajir Karimi. Image Analysis Technique as a Tool for Extracting Features from the Copper Surface Froth in the Flotation Process. Am J Chem Eng. 2014;1(4):70-78. doi: 10.11648/j.ajche.20130104.12
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Download@article{10.11648/j.ajche.20130104.12,
author = {Nasser Saghatoleslami and Hajir Karimi},
title = {Image Analysis Technique as a Tool for Extracting Features from the Copper Surface Froth in the Flotation Process},
journal = {American Journal of Chemical Engineering},
volume = {1},
number = {4},
pages = {70-78},
doi = {10.11648/j.ajche.20130104.12},
url = {https://doi.org/10.11648/j.ajche.20130104.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajche.20130104.12},
abstract = {The froth can be adopted as an indicator of the performance of flotation processes. The study of froth image structure would enable us to establish a number of parameters from which could convey the froth characteristics. To monitor the operating performance of the floatation cell by machine vision system, it is crucial to identify and extract those features that are descriptive of the surface froth. Consequently, it can provide interdependency between the froth characteristics with the operating conditions on one hand (e.g., aeration rate, froth depth, chemical compound and pH variation) and the cell parameters performance on the other hand, as well (e.g., copper grade, recovery and solid contents). The aim of the present study is to examine the copper froth characteristics, by adopting an image analysis technique and hence evaluating froth features such as the average bubble size, bubbles distribution, bubble shape features, bubble elongation factor, image average color and the color distribution. Owing to the intricacy aspect of the froth structure and in order to match properly between the real froth and the segmentation images, this algorithm adopts features similar to proper filters in the pre-processing stage, edge detection functions, threshold functions and different mathematical morphology models. The findings of this work reveal that the size and shape of the froth bubbles plays an important role in classifying the froth. Hence, it is possible to incorporate such features for either evaluating the flotation cell performance or adopting it for the automatic on-line control of the flotation process. The findings of this research could also be implemented towards the training of the operators.},
year = {2014}
}
TY - JOUR T1 - Image Analysis Technique as a Tool for Extracting Features from the Copper Surface Froth in the Flotation Process AU - Nasser Saghatoleslami AU - Hajir Karimi Y1 - 2014/01/10 PY - 2014 N1 - https://doi.org/10.11648/j.ajche.20130104.12 DO - 10.11648/j.ajche.20130104.12 T2 - American Journal of Chemical Engineering JF - American Journal of Chemical Engineering JO - American Journal of Chemical Engineering SP - 70 EP - 78 PB - Science Publishing Group SN - 2330-8613 UR - https://doi.org/10.11648/j.ajche.20130104.12 AB - The froth can be adopted as an indicator of the performance of flotation processes. The study of froth image structure would enable us to establish a number of parameters from which could convey the froth characteristics. To monitor the operating performance of the floatation cell by machine vision system, it is crucial to identify and extract those features that are descriptive of the surface froth. Consequently, it can provide interdependency between the froth characteristics with the operating conditions on one hand (e.g., aeration rate, froth depth, chemical compound and pH variation) and the cell parameters performance on the other hand, as well (e.g., copper grade, recovery and solid contents). The aim of the present study is to examine the copper froth characteristics, by adopting an image analysis technique and hence evaluating froth features such as the average bubble size, bubbles distribution, bubble shape features, bubble elongation factor, image average color and the color distribution. Owing to the intricacy aspect of the froth structure and in order to match properly between the real froth and the segmentation images, this algorithm adopts features similar to proper filters in the pre-processing stage, edge detection functions, threshold functions and different mathematical morphology models. The findings of this work reveal that the size and shape of the froth bubbles plays an important role in classifying the froth. Hence, it is possible to incorporate such features for either evaluating the flotation cell performance or adopting it for the automatic on-line control of the flotation process. The findings of this research could also be implemented towards the training of the operators. VL - 1 IS - 4 ER -
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