Evidence map›Paper›PMID 36295429›Full record

ArticleMaterials (Basel, Switzerland)2022

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 and 1 more

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lei ZhangSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.
Guiping ZhengSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.
Kai ZhangChina State Construction International Holdings Limited, Hong Kong 999077, China.
Yongfeng WangCCCC NO. 1 Highway Survey Design & Research Institute Co., Ltd., Xi'an 710065, China.
Changming ChenCCCC NO. 1 Highway Survey Design & Research Institute Co., Ltd., Xi'an 710065, China.
Liting ZhaoCCCC NO. 1 Highway Survey Design & Research Institute Co., Ltd., Xi'an 710065, China.
Jiquan XuSichuan Gezhouba Batongwan Expressway Co., Ltd., Bazhong 636600, China.
Xinqing LiuSichuan Gezhouba Batongwan Expressway Co., Ltd., Bazhong 636600, China.
Liqing WangSichuan Gezhouba Batongwan Expressway Co., Ltd., Bazhong 636600, China.
Yiqiu TanSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.
Chao XingSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.

Funding

National Key Research and Development Program of China 2018YFB1600203
6 · The paper itself

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.

Indexed as

asphalt mixtureComputed Tomographygradation analysisimage processmicrostructure

Identifiers

PMID36295429
PMCPMC9610159

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.