A Digital Image Analysis of Gravel Aggregate Using CT Scanning Technique

Jiangfeng Wu; Linbing Wang; Yue Hou; Haocheng Xiong; Yang Lu; Lei Zhang

doi:10.1016/j.ijprt.2017.08.002

A Digital Image Analysis of Gravel Aggregate Using CT Scanning Technique

Jiangfeng Wu, Linbing Wang, Yue Hou, Haocheng Xiong, Yang Lu, Lei Zhang

Civil Engineering Department

Research output: Contribution to journal › Article › peer-review

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Abstract

Particle shape was one of the most important factors which affects the gravel aggregate’s properties. It was also one of the important factors that directly affects the performance of asphalt pavements. In this paper, the gravel aggregate of quartzite was studied by using the industrial CT instrument. MATLAB was used to capture the aggregate slice properties including reverse color, median filtering, noise reduction, binarization and so on. The 3D aggregate model was reconstructed by using the software of MIMICS. The three-dimensional model of the aggregate was further optimized. The best fitting cuboid, cylinder, cone and sphere information of the aggregate were obtained by using the characteristics analysis function.

Original language	American English
Pages (from-to)	160-167
Number of pages	8
Journal	International Journal of Pavement Research and Technology
Volume	11
Issue number	2
DOIs	https://doi.org/10.1016/j.ijprt.2017.08.002
State	Published - Mar 2018

Keywords

3D reconstruction
CT scanning
gravel aggregate
particle shape
watershed transform

EGS Disciplines

Civil Engineering

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10.1016/j.ijprt.2017.08.002

A Digital Image Analysis of Gravel Aggregate Using CT Scanning TeFinal published version, 1.4 MBLicense: CC BY-NC-ND

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title = "A Digital Image Analysis of Gravel Aggregate Using CT Scanning Technique",

abstract = " Particle shape was one of the most important factors which affects the gravel aggregate{\textquoteright}s properties. It was also one of the important factors that directly affects the performance of asphalt pavements. In this paper, the gravel aggregate of quartzite was studied by using the industrial CT instrument. MATLAB was used to capture the aggregate slice properties including reverse color, median filtering, noise reduction, binarization and so on. The 3D aggregate model was reconstructed by using the software of MIMICS. The three-dimensional model of the aggregate was further optimized. The best fitting cuboid, cylinder, cone and sphere information of the aggregate were obtained by using the characteristics analysis function.",

keywords = "3D reconstruction, CT scanning, gravel aggregate, particle shape, watershed transform",

author = "Jiangfeng Wu and Linbing Wang and Yue Hou and Haocheng Xiong and Yang Lu and Lei Zhang",

note = "Publisher Copyright: {\textcopyright} 2018 Chinese Society of Pavement Engineering",

year = "2018",

month = mar,

doi = "10.1016/j.ijprt.2017.08.002",

language = "American English",

volume = "11",

pages = "160--167",

number = "2",

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TY - JOUR

T1 - A Digital Image Analysis of Gravel Aggregate Using CT Scanning Technique

AU - Wu, Jiangfeng

AU - Wang, Linbing

AU - Hou, Yue

AU - Xiong, Haocheng

AU - Lu, Yang

AU - Zhang, Lei

PY - 2018/3

Y1 - 2018/3

N2 - Particle shape was one of the most important factors which affects the gravel aggregate’s properties. It was also one of the important factors that directly affects the performance of asphalt pavements. In this paper, the gravel aggregate of quartzite was studied by using the industrial CT instrument. MATLAB was used to capture the aggregate slice properties including reverse color, median filtering, noise reduction, binarization and so on. The 3D aggregate model was reconstructed by using the software of MIMICS. The three-dimensional model of the aggregate was further optimized. The best fitting cuboid, cylinder, cone and sphere information of the aggregate were obtained by using the characteristics analysis function.

AB - Particle shape was one of the most important factors which affects the gravel aggregate’s properties. It was also one of the important factors that directly affects the performance of asphalt pavements. In this paper, the gravel aggregate of quartzite was studied by using the industrial CT instrument. MATLAB was used to capture the aggregate slice properties including reverse color, median filtering, noise reduction, binarization and so on. The 3D aggregate model was reconstructed by using the software of MIMICS. The three-dimensional model of the aggregate was further optimized. The best fitting cuboid, cylinder, cone and sphere information of the aggregate were obtained by using the characteristics analysis function.

KW - 3D reconstruction

KW - CT scanning

KW - gravel aggregate

KW - particle shape

KW - watershed transform

UR - http://www.scopus.com/inward/record.url?scp=85042078175&partnerID=8YFLogxK

UR - https://scholarworks.boisestate.edu/civileng_facpubs/100

U2 - 10.1016/j.ijprt.2017.08.002

DO - 10.1016/j.ijprt.2017.08.002

M3 - Article

SN - 1996-6814

VL - 11

SP - 160

EP - 167

JO - International Journal of Pavement Research and Technology

JF - International Journal of Pavement Research and Technology

IS - 2

ER -

A Digital Image Analysis of Gravel Aggregate Using CT Scanning Technique

Abstract

Keywords

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