International Journal of Computational Intelligence Systems

Volume 6, Issue 5, September 2013, Pages 969 - 986

Machine Vision Based Production Condition Classification and Recognition for Mineral Flotation Process Monitoring

Authors
Jinping Liu, Weihua Gui, Zhaohui Tang, Huosheng Hu, Jianyong Zhu
Corresponding Author
Zhaohui Tang
Received 26 April 2012, Accepted 19 February 2013, Available Online 1 September 2013.
DOI
10.1080/18756891.2013.809938How to use a DOI?
Keywords
Foth flotation process, froth image, production condition classification and recognition, Gabor wavelet transform, marginal distribution, joint distribution
Abstract

A novel froth image analysis based production condition recognition method is presented to identify the froth phases under various production conditions. Gabor wavelet transformation is employed to froth image processing firstly due to the ability of Gabor functions in simulating the response of the simple cells in the visual cortex. Successively, the statistical distribution profiles based feature parameters of the Gabor filter responses rather than the conventional mean and variance are extracted to delineate the essential statistical information of the froth images. The amplitude and phase representations of the Gabor filter responses are both taken into account by empirical marginal and joint statistical modeling. At last, a simple learning vector quantization (LVQ) neural network model is used to learn an effective classifier to recognize the froth production conditions. The effectiveness of this method is validated by the real production data on industrial scale from a bauxite dressing plant.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 5
Pages
969 - 986
Publication Date
2013/09/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2013.809938How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Jinping Liu
AU  - Weihua Gui
AU  - Zhaohui Tang
AU  - Huosheng Hu
AU  - Jianyong Zhu
PY  - 2013
DA  - 2013/09/01
TI  - Machine Vision Based Production Condition Classification and Recognition for Mineral Flotation Process Monitoring
JO  - International Journal of Computational Intelligence Systems
SP  - 969
EP  - 986
VL  - 6
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.809938
DO  - 10.1080/18756891.2013.809938
ID  - Liu2013
ER  -