Determination of Geometric Parameters of Cracks in Concrete by Image Processing

Vashpanov Yuriy; Son Jung-Young; Heo Gwanghee; Podousova Tatyana; Kim Yong Suk

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Determination of Geometric Parameters of Cracks in Concrete by Image Processing

机译：通过图像处理确定混凝土中裂缝几何参数

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The 8-bit RGB image of a cracked concrete surface, obtained with a high-resolution camera based on a close-distance photographing and using an optical microscope, is used to estimate the geometrical parameters of the crack. The parameters such as the crack's width, depth, and morphology can be determined by the pixel intensity distribution of the image. For the estimation, the image is transformed into 16-bit gray scale to enhance the geometrical parameters of the crack and then a mathematical relationship relating the intensity distribution with the depth and width is derived based on the enhanced image. This relationship enables to estimate the width and depth with +/- 10% and +/- 15% accuracy, respectively, for the crack samples used for the experiments. It is expected that the accuracy can be further improved if the 8-bit RGB image is synthesized by the images of the cracks obtained with different illumination directions.

机译：使用基于紧密拍摄和使用光学显微镜的高分辨率摄像机获得的裂化混凝土表面的8位RGB图像用于估计裂缝的几何参数。诸如裂缝宽度，深度和形态的参数可以通过图像的像素强度分布来确定。对于估计，图像被转换为16比特灰度刻度，以增强裂缝的几何参数，然后基于增强图像导出与深度和宽度相关的强度分布的数学关系。这种关系可以分别估计+/- 10％和+/- 15％的精度，用于实验的裂缝样本。如果通过用不同照明方向获得的裂缝的图像合成8位RGB图像，则可以进一步改善精度。

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《Advances in civil engineering》 |2019年第14期|2398124.1-2398124.14|共14页
作者
Vashpanov Yuriy; Son Jung-Young; Heo Gwanghee; Podousova Tatyana; Kim Yong Suk;
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作者单位

Konyang Univ Publ Safety Res Inst Dept Civil Engn Nonsan 32992 Chungnam South Korea;

Konyang Univ Publ Safety Res Inst Dept Biomed Engn Nonsan 32992 Chungnam South Korea;

Konyang Univ Publ Safety Res Inst Dept Civil Engn Nonsan 32992 Chungnam South Korea;

Odessa State Acad Civil Engn & Architecture Dept Appl Math UA-65029 Odessa Ukraine;

Konyang Univ Publ Safety Res Inst BioIT Engn Dept Nonsan 32992 Chungnam South Korea;

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1. Determination of Geometric Parameters of Cracks in Concrete by Image Processing [J] . Yuriy Vashpanov, Jung-Young Son, Gwanghee Heo, Advances in civil engineering . 2019,第1期

机译：通过图像处理确定混凝土中裂缝几何参数
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7. A Valid Parameter Range Identification Method of a Digital Image Processing Algorithm for Concrete Surface Cracks Detection Using Genetic Algorithm and Decision Tree [O] . Kei KAWAMURA, Kousuke YOSHINO, Hideaki NAKAMURA 2013

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Determination of Geometric Parameters of Cracks in Concrete by Image Processing

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