Research and application of automatic mineralogical detection of geological prospecting core section

Mingming Cai; Guangsheng Li; Xingfu Zhu; Zhongbo Lu; Qiang Ji

doi:10.1117/12.2660620

31 October 2022 Research and application of automatic mineralogical detection of geological prospecting core section

Mingming Cai, Guangsheng Li, Xingfu Zhu, Zhongbo Lu, Qiang Ji

Proceedings Volume 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022); 124570M (2022) https://doi.org/10.1117/12.2660620
Event: Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 2022, Changchun, China

Abstract

As an important component of geological work, rock and mineral appraisal plays an invisible role in the development of geological work. The detection means mainly rely on artificial and optical microscope to detect and analyze, because of the researcher's result level and knowledge level, the research results are affected greatly, and the workload is large, the research cycle is long. In order to further optimize the detection method of geological rock and mineral, this study mainly aims at the sample slice of geological prospecting sample, carries on the regional detection by using the electron scanning electron microscope, carries on the picture splicing by using the BPMA software, and realizes the measurement of the geological sample. By means of Sample Mosaic Images, the rock structure and structure, the degree of mineral crystallization, the relation between joints and crushing, the relation between inclusion and insertion, the sequence of mineral formation and the automatic naming of rocks and minerals are described, thus the automatic mineralogical detection of rock and mineral is realized.

Citation Download Citation

Mingming Cai, Guangsheng Li, Xingfu Zhu, Zhongbo Lu, and Qiang Ji "Research and application of automatic mineralogical detection of geological prospecting core section", Proc. SPIE 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 124570M (31 October 2022); https://doi.org/10.1117/12.2660620

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KEYWORDS

Minerals

Nomenclature

Mineralogy

Chemical elements

Databases

Crystals

Opacity

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