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Intelligent interpretation of digital images of rock joints based on pattern recognition

机译:基于模式识别的节理数字图像智能解释

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As a composition of rockmass, structural planes are one of the chief factors that can largely control the mechanical response of rockmass and its models of deformation and failure under the action of engineering load. Rock joints are a typical sort of structural planes, which are numerous, random and universal in the rockmass. So the measurement and statistics of rock joints are the basics for classifying rockmass grades, evaluating rockmass quality, and selecting physico-mechanical parameters of loc kmass. However, the traditional in situ investigation using manual measuring tools is inefficient and costly. In order to improve the above-mentioned status, new methods to measure joints should be developed, which should be efficient, simple and conveni ent. The rapid developments of modern digital photography and digital image processing make it possible that digital photograph devices such as digital cameras or digital videos can be used to measure joints. So based on theories and methods of pattern r ecognition and image processing, the intelligent interpretation of digital images of rock joints is studied, and the corresponding computational method is also put forward for the first time. The procedure and results of intelligent interpretation of a j oint image have been discussed in detail.
机译:作为岩体的组成部分,结构面是可以在很大程度上控制岩体的机械响应及其在工程荷载作用下的变形和破坏模型的主要因素之一。岩缝是一种典型的结构平面,在岩体中数量众多,随机且普遍。因此,岩石节理的测量和统计是对岩体等级进行分类,评估岩体质量以及选择局部岩心的物理力学参数的基础。但是,使用手动测量工具进行的传统现场调查效率低下且成本高昂。为了改善上述状况,应该开发新的测量关节的方法,该方法应该高效,简单和方便。现代数字摄影和数字图像处理技术的飞速发展使得诸如数码相机或数字视频之类的数字照相设备可用于测量关节。因此,基于模式识别和图像处理的理论和方法,对岩缝数字图像的智能解释进行了研究,并首次提出了相应的计算方法。详细讨论了智能图像的解释过程和结果。

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