Abstract

The location of reinforcement bar in concrete, the bar corrosion, diameter and the depth below the surface are important factors in the evaluation of the load bearing capacity and the usage property within the scope of building condition and damage analysis. Radiographic techniques are used to examine the structure of different buildings. The basic goal of the inspection is the visualization of reinforcement bars, fittings or tension cables. In this research, the Weighted Nuclear Norm Minimization method was used to improve visualization of the hidden structures and defects from the concrete radiographs. The method relies on minimization of the image energy and singular value decomposition for enhancing contrast. The proposed algorithm was successfully applied to radiographic images of concrete segments. Improvement of the structure detail visualization and defect region detection were achieved while preserving structure edge and fine detail imaging information. Evaluation of the image quality enhancement showed that the contrast level to noise increases by a factor of about two in reconstructed images using the proposed method. Also, the background is suppressed towards the zero baselines, and better visual quality is achieved.

中文翻译：

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通过射线照相和加权核规范最小化方法对混凝土结构进行检查和监测

摘要

在建筑条件和损伤分析范围内，钢筋在混凝土中的位置，钢筋的腐蚀，直径和表面以下的深度是评估承载力和使用性能的重要因素。射线照相技术用于检查不同建筑物的结构。检查的基本目标是可视化钢筋，配件或张力电缆。在这项研究中，使用加权核规范最小化方法来改善混凝土射线照相中隐藏结构和缺陷的可视化。该方法依靠最小化图像能量和奇异值分解来增强对比度。所提出的算法已成功地应用于具体部分的射线照相图像。在保留结构边缘和精细细节成像信息的同时，实现了结构细节可视化和缺陷区域检测的改进。图像质量增强的评估表明，使用所提出的方法，在重建图像中，与噪声的对比度水平增加了大约两倍。而且，背景被抑制为接近零基线，并且获得了更好的视觉质量。