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

  • Lei Zhang
  • , Guiping Zheng
  • , Kai Zhang
  • , Yongfeng Wang
  • , Changming Chen
  • , Liting Zhao
  • , Jiquan Xu
  • , Xinqing Liu
  • , Liqing Wang
  • , Yiqiu Tan
  • , Chao Xing*
  • *Corresponding author for this work
  • School of Transportation Science and Engineering, Harbin Institute of Technology
  • China State Construction Engineering Corporation
  • Ltd.
  • Ltd.

Research output: Contribution to journalArticlepeer-review

Abstract

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 × 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.

Original languageEnglish
Article number7364
JournalMaterials
Volume15
Issue number20
DOIs
StatePublished - Oct 2022
Externally publishedYes

Keywords

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

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