Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Liu, J.J., MacGregor, J.F., Duchesne, C., Bartolacci, G. (2005) Flotation froth monitoring using multiresolutional multivariate image analysis. Minerals Engineering, 18 (1). 65-76 doi:10.1016/j.mineng.2004.05.010

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleFlotation froth monitoring using multiresolutional multivariate image analysis
JournalMinerals Engineering
AuthorsLiu, J.J.Author
MacGregor, J.F.Author
Duchesne, C.Author
Bartolacci, G.Author
Year2005 (January)Volume18
Issue1
PublisherElsevier BV
DOIdoi:10.1016/j.mineng.2004.05.010Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID7716095Long-form Identifiermindat:1:5:7716095:5
GUID0
Full ReferenceLiu, J.J., MacGregor, J.F., Duchesne, C., Bartolacci, G. (2005) Flotation froth monitoring using multiresolutional multivariate image analysis. Minerals Engineering, 18 (1). 65-76 doi:10.1016/j.mineng.2004.05.010
Plain TextLiu, J.J., MacGregor, J.F., Duchesne, C., Bartolacci, G. (2005) Flotation froth monitoring using multiresolutional multivariate image analysis. Minerals Engineering, 18 (1). 65-76 doi:10.1016/j.mineng.2004.05.010
In(2005, January) Minerals Engineering Vol. 18 (1) Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Bartolacci, Gianni, Pelletier, Patrick, Tessier, Jayson, Duchesne, Carl, Bossé, Pierre-Alexandre, Fournier, Julie (2006) Application of numerical image analysis to process diagnosis and physical parameter measurement in mineral processes—Part I: Flotation control based on froth textural characteristics. Minerals Engineering, 19 (6). 734-747 doi:10.1016/j.mineng.2005.09.041
Barbian, N., Hadler, K., Ventura-Medina, E., Cilliers, J.J. (2005) The froth stability column: linking froth stability and flotation performance. Minerals Engineering, 18 (3). 317-324 doi:10.1016/j.mineng.2004.06.010
Aldrich, Chris, Avelar, Erica, Liu, Xiu (2022) Recent advances in flotation froth image analysis. Minerals Engineering, 188. 107823 doi:10.1016/j.mineng.2022.107823
Aldrich, Chris, Liu, Xiu (2021) Monitoring of Flotation Systems by Use of Multivariate Froth Image Analysis. Minerals, 11 (7) 683 doi:10.3390/min11070683
Liu, J. Jay, MacGregor, John F. (2008) Froth-based modeling and control of flotation processes. Minerals Engineering, 21 (9). 642-651 doi:10.1016/j.mineng.2007.12.011
Liu, Xiu, Aldrich, Chris (2024) Froth image based monitoring of platinum group metals flotation with vision transformers and convolutional neural networks. Minerals Engineering, 215. 108790 doi:10.1016/j.mineng.2024.108790
Barbian, N., Ventura-Medina, E., Cilliers, J.J. (2003) Dynamic froth stability in froth flotation. Minerals Engineering, 16 (11). 1111-1116 doi:10.1016/j.mineng.2003.06.010
Zarie, M., Jahedsaravani, A., Massinaei, M. (2020) Flotation froth image classification using convolutional neural networks. Minerals Engineering, 155. 106443pp. doi:10.1016/j.mineng.2020.106443
Chuk, O.D., Ciribeni, V., Gutierrez, L.V. (2005) Froth collapse in column flotation: a prevention method using froth density estimation and fuzzy expert systems. Minerals Engineering, 18 (5). 495-504 doi:10.1016/j.mineng.2004.08.013
Fu, Y., Aldrich, C. (2019) Flotation froth image recognition with convolutional neural networks. Minerals Engineering, 132. 183-190 doi:10.1016/j.mineng.2018.12.011
Marais, C., Aldrich, C. (2011) Estimation of platinum flotation grades from froth image data. Minerals Engineering, 24 (5). 433-441 doi:10.1016/j.mineng.2010.12.006
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 23, 2025 03:02:38
Go to top of page