Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt Mixture
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...
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| Format: | Article |
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MDPI AG
2022-10-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/15/20/7364 |
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| author | Lei Zhang Guiping Zheng Kai Zhang Yongfeng Wang Changming Chen Liting Zhao Jiquan Xu Xinqing Liu Liqing Wang Yiqiu Tan Chao Xing |
| author_facet | Lei Zhang Guiping Zheng Kai Zhang Yongfeng Wang Changming Chen Liting Zhao Jiquan Xu Xinqing Liu Liqing Wang Yiqiu Tan Chao Xing |
| author_sort | Lei Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T09:45:29Z |
| format | Article |
| id | doaj.art-1a1296cd4c7d48c189baca51584f5078 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T09:45:29Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-1a1296cd4c7d48c189baca51584f50782023-12-02T00:35:31ZengMDPI AGMaterials1996-19442022-10-011520736410.3390/ma15207364Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt MixtureLei Zhang0Guiping Zheng1Kai Zhang2Yongfeng Wang3Changming Chen4Liting Zhao5Jiquan Xu6Xinqing Liu7Liqing Wang8Yiqiu Tan9Chao Xing10School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaChina State Construction International Holdings Limited, Hong Kong 999077, ChinaCCCC NO. 1 Highway Survey Design & Research Institute Co., Ltd., Xi’an 710065, ChinaCCCC NO. 1 Highway Survey Design & Research Institute Co., Ltd., Xi’an 710065, ChinaCCCC NO. 1 Highway Survey Design & Research Institute Co., Ltd., Xi’an 710065, ChinaSichuan Gezhouba Batongwan Expressway Co., Ltd., Bazhong 636600, ChinaSichuan Gezhouba Batongwan Expressway Co., Ltd., Bazhong 636600, ChinaSichuan Gezhouba Batongwan Expressway Co., Ltd., Bazhong 636600, ChinaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaAn 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.https://www.mdpi.com/1996-1944/15/20/7364asphalt mixtureComputed Tomographyimage processmicrostructuregradation analysis |
| spellingShingle | Lei Zhang Guiping Zheng Kai Zhang Yongfeng Wang Changming Chen Liting Zhao Jiquan Xu Xinqing Liu Liqing Wang Yiqiu Tan Chao Xing Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt Mixture Materials asphalt mixture Computed Tomography image process microstructure gradation analysis |
| title | Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt Mixture |
| title_full | Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt Mixture |
| title_fullStr | Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt Mixture |
| title_full_unstemmed | Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt Mixture |
| title_short | Study on the Extraction of CT Images with Non-Uniform Illumination for the Microstructure of Asphalt Mixture |
| title_sort | study on the extraction of ct images with non uniform illumination for the microstructure of asphalt mixture |
| topic | asphalt mixture Computed Tomography image process microstructure gradation analysis |
| url | https://www.mdpi.com/1996-1944/15/20/7364 |
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