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The application of the automatic search for visually similar geological layers in a borehole in introscopic camera recordings

机译:自动搜索内窥镜摄像机记录中钻孔中视觉相似的地质层的应用

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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. (c) 2016 Elsevier Ltd. All rights reserved.
机译:本文讨论了从内窥镜摄像机获得的视频记录基础上获得有价值的知识的机会,该摄像机用于调查采矿井眼。它还为构建系统的任务提供了一种原始方法,该方法将简化寻找视觉上相似的地质结构的过程,并且可以替代耗时的手动配置。使用内窥镜相机执行的测量分析基于作者定义的特征空间,并使用数学形态学方法处理视频序列,以及将数据分析用于决策过程。研究结果表明,在确定构成给定地质层的视觉相似性方面,要使决策过程自动化,图像处理和数据分析方法是一种有效的工具。 ,调查钻孔面积。所讨论的方法产生正确决策的百分比很高。 (c)2016 Elsevier Ltd.保留所有权利。

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