Automation System Development for Micrograph Recognition for Mineral Ore Composition Evaluation in Mining Industry

Abstract : The article deals with the problem of micrographs automated obtaining and micrographs automated processing ore samples of ore dressing processes in ferrous metallurgy. It is described the task of interpreting the results and interaction subsystem automated obtaining and automated processing of samples of ore mining micrographs and beneficiation processes ferrous metals, used to analyze the quality of mineral rocks with other automation systems. It is defined specifies requirements for the subsystem micrographs analysis.
Document type :
Conference papers
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/hal-01391367
Contributor : Hal Ifip <>
Submitted on : Thursday, November 3, 2016 - 11:10:47 AM
Last modification on : Friday, December 1, 2017 - 1:16:35 AM
Long-term archiving on : Saturday, February 4, 2017 - 1:35:46 PM

File

978-3-662-44654-6_60_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Olga Baklanova, Olga Shvets, Zhanbai Uzdenbaev. Automation System Development for Micrograph Recognition for Mineral Ore Composition Evaluation in Mining Industry. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. pp.604-613, ⟨10.1007/978-3-662-44654-6_60⟩. ⟨hal-01391367⟩

Share

Metrics

Record views

86

Files downloads

154