The application of the automatic search for visually similar geological layers in a borehole in introscopic camera recordings |
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| Affiliation: | 1. AGH University of Science and Technology, Department of Geoinformatics and Applied Computer Science, Poland;2. Strata Mechanics Research Institute of the Polish Academy of Sciences, Poland;1. School of Architecture and Civil Engineering, Xiamen University, Xiamen, China;2. Department of Civil Engineering, Catholic University of America, Washington, DC 20064, United States;3. School of Transportation, Southeast University, Nanjing 210096, China;4. School of Automation, Southeast University, Nanjing 210096, China;1. Univ. Inst. Physics Applied to Sciences and Engineering, University of Alicante, PO Box, 99, 03080 Alicante, Spain;2. Dept. Civil Engineering, University of Alicante, PO Box, 99, 03080 Alicante, Spain;1. Institute of Fundamental Technological Research, Warsaw, Poland;2. Institute of Mechanized Construction and Rock Mining, Warsaw, Poland;1. School of Electronics Engineering, VIT University, Vellore, Tamil Nadu 632014, India;2. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu 632014, India;3. Department of Instrument Technology, Andhra University, Visakhapatnam, Andhra Pradesh 532001, India;1. Department of Structural Mechanics, Faculty of Civil Engineering, Environmental and Geodetic Sciences, Koszalin University of Technology, ul. Sniadeckich 2, 75-453 Koszalin, Poland;2. Institute of Materials and Structures, Riga Technical University, Kalku Street 1, LV-1658 Riga, Latvia;1. S2P Ltd., Laboratory for Motor Control and Motor Behaviour, Ljubljana, Slovenia;2. University of Ljubljana, Faculty of Sport, Laboratory for Biomechanics, Ljubljana, Slovenia;3. University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies, Koper, Slovenia;4. University of Primorska, Andrej Marusic Institute, Department of Health Studies, Koper, Slovenia |
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| Abstract: | The paper discusses the opportunities for obtaining valuable knowledge on the basis of video recordings from introscopic cameras, used to investigate mining boreholes. It also presents an original approach to the task of building a system, which would facilitate the process of searching for visually similar geological structures, and which would constitute an alternative to time-consuming manual profiling. The analysis of measurements performed with an introscopic camera is based on a feature space defined by the Authors, and uses the methods of mathematical morphology for processing video sequences, as well as data analysis for the decision-making process. As a result of the research, it was established that the methods of image processing and data analysis are an effective tool when it comes to automate the decision-making process with regards to the determination of the visual similarity of geological layers which make up a given, investigated area of a borehole. The methods in question yield a high percentage of correct decisions. |
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| Keywords: | Query by image content Video sequences analysis Texture analysis Data analysis Feature vector |
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