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.
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Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-436, pp.604-613, 2014, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-662-44654-6_60〉
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Olga Baklanova, Olga Shvets, Zhanbai Uzdenbaev. Automation System Development for Micrograph Recognition for Mineral Ore Composition Evaluation in Mining Industry. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-436, pp.604-613, 2014, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-662-44654-6_60〉. 〈hal-01391367〉

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