Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Froth image acquisition and enhancement on optical correction and retinex compensation
KTH. College of Information Engineering, Chang’an University, Xi’an 710064, China.
Show others and affiliations
2018 (English)In: Minerals, ISSN 2075-163X, E-ISSN 2075-163X, Vol. 8, no 3, article id 103Article in journal (Refereed) Published
Abstract [en]

To well monitor and optimize the flotation production, a computer vision and image analysis system is used. In such a system, the first important step is to acquire the froth surface images in high quality. Froth imaging quality is hard to control, and the industrial field noise, froth 3D properties, complex textures, and mixed colors can also cause the flotation image to be difficult to segment and process. To acquire high quality images, a new system for image acquisition of the lead flotation is studied. The system constructs the free-form surface lens based on the non-imaging optics theory, which can improve the optical efficiency of the lens and the uniformity of light sources, and can reduce flare effects. For the compensation, an improved MSR (Multi-Scale Retinex) adaptive image algorithm is proposed to increase the brightness and intensity contrast for small bubbles, and to enhance texture details and froth weak edges by analyzing the Retinex output characteristics of the shaded area and improving the gain function. Under the condition of the optimal parameters, the image acquisition system can obtain uniform illumination and reduce different noises. Experiments show that the new froth image acquisition system increases Signal/Noise by 14%, contrast by 21%, and image segmentation accuracy by 26% in an image. 

Place, publisher, year, edition, pages
MDPI AG , 2018. Vol. 8, no 3, article id 103
Keywords [en]
Flotation, Free-form surface lens, Froth image, Multi-Scale Retinex
National Category
Chemical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-227398DOI: 10.3390/min8030103ISI: 000428561700026Scopus ID: 2-s2.0-85043390525OAI: oai:DiVA.org:kth-227398DiVA, id: diva2:1211059
Note

Export Date: 9 May 2018; Article; Correspondence Address: Lang, F.; College of Computer Science, Chengdu UniversityChina; email: fnlang@163.com; Funding details: 41372330, NSFC, National Natural Science Foundation of China; Funding details: 2013KW03, SUST, Shaanxi University of Science and Technology; Funding details: EPIC, Ecumenical Project for International Cooperation; Funding text: Acknowledgments: The authors would like to thank the anonymous reviewers for their valuable remarks and suggestions. This work was supported by the Shaanxi Province Science & Technology Fund (No. 2013KW03)—International Cooperation Project. It is also financially supported by the National Natural Science Fund in China (grant No. 41372330). QC 20180530

Available from: 2018-05-30 Created: 2018-05-30 Last updated: 2018-06-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Wang, Weixing
By organisation
KTH
In the same journal
Minerals
Chemical Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf