Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt Mixture

被引：7

作者：

Zhang, Lei ^{[1
]}

Zheng, Guiping ^{[1
]}

Zhang, Kai ^{[2
]}

Wang, Yongfeng ^{[3
]}

Chen, Changming ^{[3
]}

Zhao, Liting ^{[3
]}

Xu, Jiquan ^{[4
]}

Liu, Xinqing ^{[4
]}

Wang, Liqing ^{[4
]}

Tan, Yiqiu ^{[1
]}

Xing, Chao ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin 150090, Peoples R China

[2] China State Construct Int Holdings Ltd, Hong Kong 999077, Peoples R China

[3] CCCC 1 Highway Survey Design & Res Inst Co Ltd, Xian 710065, Peoples R China

[4] Sichuan Gezhouba Batongwan Expressway Co Ltd, Bazhong 636600, Peoples R China

来源：

MATERIALS | 2022年 / 15卷 / 20期

基金：

中国国家自然科学基金;

关键词：

asphalt mixture; Computed Tomography; image process; microstructure; gradation analysis;

D O I：

10.3390/ma15207364

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

An adaptive image-processing method for CT images of asphalt mixture is proposed in this paper. Different methods are compared according to the error analysis calculated between the real gradation and 3D reconstruction gradation. As revealed by the test results, the adaptive image-processing method was effective in carrying out different brightness homogenization processes for each image. The Wiener filter with 7 x 7 size filter was able to produce a better noise reduction effect without compromising image sharpness. Among the three methods, the adaptive image-processing method performed best in the accuracy of coarse aggregate recognition, followed by the ring division method and the global threshold segmentation method. The error of the gradation extracted by the adaptive image-processing method was found to be lowest compared with the real gradation. For a variety of engineering applications, the developed method helps to improve the analysis of CT images of asphalt mixtures.

引用

页数：15

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