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A New Method for Inspecting Crack of Concrete Bridges Using Image Processing Technique

机译:一种使用图像处理技术检查混凝土桥梁裂缝的新方法

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Crack inspection of bridges is indispensable to maintain the public traffic safety. It is conventionally carried out by specialists through visual inspection manually. Considering the efficiency and security, digital image processing technique is used to inspect the bridges. After analyzing many representative images of cracks, this paper presents the particular region feature, gray value feature and contour feature of cracks on the bridges' surface and obtains hundreds of cracks' feature values. We select some representative data to identify cracks from images according to these cracks' feature values. The software has been developed to distinguish whether cracks exist in an image, and to extract automatically the existent cracks by means of MATLAB. We present experimental results obtained to prove these methods.
机译:桥梁的裂纹检查是保持公共交通安全的不可或缺的。它通常是通过手动视觉检查的专家进行的。考虑到效率和安全性,数字图像处理技术用于检查桥梁。在分析许多代表性的裂缝图像之后,本文介绍了桥梁表面上的裂缝的特定区域特征,灰度特征和轮廓特征,并获得数百个裂缝的特征值。我们选择一些代表性数据以根据这些裂缝的特征值识别图像的裂缝。已经开发了该软件以区分图像是否存在裂缝,并通过MATLAB自动提取存在的裂缝。我们提出了实验结果以证明这些方法。

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