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首页> 外文期刊>International Journal of Rock Mechanics and Mining Sciences >A semi-automated methodology for discontinuity trace detection in digital images of rock mass exposures
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A semi-automated methodology for discontinuity trace detection in digital images of rock mass exposures

机译:半自动方法,用于岩体暴露数字图像中的间断痕迹检测

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The in situ measurement of discontinuity geometry at rock mass exposures is a slow process, it can be hazardous, and often a large proportion of the exposure is inaccessible. Photogrammetry is a safer method with which to measure discontinuity geometry, and by removing the issues of inaccessibility it provides greater access to the exposure. The use of digital images - rather than customary analogue photographic images - for photogrammetry retains these benefits, while offering the prospect of an automated, and hence fast, method of discontinuity detection and discontinuity geometry analysis. This paper presents a methodology for semi-automated discontinuity trace detection in greyscale digital images of rock mass exposures. The methodology detects discontinuity traces as individual objects, which is a necessary precursor to automated discontinuity geometry analysis. The methodology initially considers a rock mass exposure digital image as a discrete surface, the elevation of which is given by pixel brightness levels. By doing so, a discontinuity trace can be likened to a topographic ravine and therefore some pixels within a discontinuity trace can be found by locating the so-called 'ravine pixels'. A series of digital image processing techniques are then applied to group and transform these ravine pixels into linear structures that are more suited to computer decision-making, and this results in what we call ravine-line segments. A novel method is presented that links these ravine-line segments together to achieve discontinuity trace detection. The method considers three criteria during the linking process to help ensure acceptable discontinuity detection. These criteria involve the nature of the image search, the angles used to control the shape of a discontinuity trace, and the brightness of the pixels in the rock mass exposure image. Case studies show the discontinuity trace maps that result when the methodology is applied to several rock mass exposure images, and a comparison is made between a discontinuity trace map produced by the methodology and several drawn by hand. (C) 2000 Elsevier Science Ltd. All rights reserved. [References: 18]
机译:岩体暴露时不连续几何体的原位测量是一个缓慢的过程,可能很危险,而且通常无法获得很大一部分暴露量。摄影测量法是一种更安全的方法,可用来测量不连续性的几何形状,并且通过消除无法进入的问题,它可以提供更大的曝光机会。在摄影测量中使用数字图像(而不是常规的模拟摄影图像)保留了这些好处,同时提供了一种自动且因此快速的间断检测和间断几何分析方法的前景。本文提出了一种在岩体暴露的灰度数字图像中进行半自动间断痕迹检测的方法。该方法将不连续性痕迹检测为单个对象,这是自动不连续性几何分析的必要先兆。该方法最初将岩体暴露数字图像视为离散表面,其高程由像素亮度级别给出。通过这样做,可以将不连续迹线比作地形沟壑,因此可以通过定位所谓的“沟壑像素”来找到不连续迹线内的一些像素。然后应用了一系列数字图像处理技术,将这些沟壑像素进行分组和转换为更适合计算机决策的线性结构,这就是所谓的沟壑线段。提出了一种新颖的方法,将这些沟壑线段链接在一起以实现不连续迹线检测。该方法在链接过程中考虑了三个标准,以帮助确保可接受的不连续检测。这些标准涉及图像搜索的性质,用于控制不连续迹线形状的角度以及岩块曝光图像中像素的亮度。案例研究显示了将该方法应用于多个岩体暴露图像时产生的不连续性痕迹图,并比较了该方法产生的不连续性痕迹图和手工绘制的多个不连续性痕迹图。 (C)2000 Elsevier ScienceLtd。保留所有权利。 [参考:18]

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