Study on Soil Particle Size Distribution by Digital Image Processing

Jian Shu Hou

doi:10.4028/www.scientific.net/AMR.788.627

Paper Titles

Research on HEC’s Hardening Effects on Topsoil in China’s Xinjiang Uygur Autonomous Region
p.611

Application of In Situ Direct Shear Test for Obtaining Soil Shear Strength Indexes in Projects
p.615

Study on Flexible Base Asphalt Pavement Design System Based on the Dynamic Modulus
p.619

Study on Engineering Materials with the Comparison and Discussion of Support Scheme in a Foundation Pit
p.623

Study on Soil Particle Size Distribution by Digital Image Processing
p.627

Study on Engineering Materials with Results of the Analysis of the Influence of Foundation Pit Surrounding Buildings Settlement
p.631

Theoretical Analysis on Settlement Calculation of Pile Foundation with Minimum Complementary Energy of Elastic Mechanics Based on the Ritz Variational Method
p.636

Investigation on the Performances of High Volume White Mud-Fly Ash Brick
p.640

The Relative Performance Study of Foam Concrete Straw-Based
p.646

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 788Study on Soil Particle Size Distribution by...

Study on Soil Particle Size Distribution by Digital Image Processing

Abstract:

The particle size distribution of soil is very importantto its physical and mechanical property. The ordinary method of the particlesize distribution analysis is based on shaking the soil through a set of sieves.But it will be difficult to use the method while there have particles largerthan the biggest aperture of the size sieves. Then the digital image processingwas used to solve the problem here. The processing technologies, such as imageanalysis and enhancement, deblurring, edge detection were studied to analyzethe image of soil particles. Then the image processing method was used to getthe particle size distribution accurately. Though some promotions need to becarried out in the further study, it is can be found that the image processingmethod is more efficiently than the traditional method.

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Periodical:

Advanced Materials Research (Volume 788)

Pages:

627-630

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.788.627

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Online since:

September 2013

Authors:

Jian Shu Hou

Keywords:

Digital Image Processing, Edge Detection, Particle Size Distribution, Soil Particle

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References

[1] Xiao Li, Qiulin Liao, Jianming He. I n - situ Tests and Stochastic Structural Model of Rock and Soil Aggregate in the Three Gorges Reservoir Area [J]. International Journal of Rock Mechanics and Mining Sciences, 2004, 41 (3): 494-499.

DOI: 10.1016/j.ijrmms.2003.12.030

Google Scholar

[2] Wenjie Xu, Zhongqi Yue, Ruilin Hu. Study on the mesostructure and mesomechanical characteristics of the soil–rock mixture using digital image processing based finite element method[J]. International Journal of Rock Mechanics and Mining Sciences, 2008, 45(5): 749-762.

DOI: 10.1016/j.ijrmms.2007.09.003

Google Scholar

[3] Banta, L., Cheng, K., & Zaniewski, J. Estimation of limestone particle mass from 2D images[J]. Powder Technology, 2003, 132, 184-189.

DOI: 10.1016/s0032-5910(03)00061-5

Google Scholar

[4] Carter, R. M., & Yan, Y. Measurement of particle shape using digital imaging techniques[J]. Journal of Physics: Conference Series, 2005, 15, 177-182.

DOI: 10.1088/1742-6596/15/1/030

Google Scholar

[5] QU Wen-ping. Quantitative mesostructure investigation of rock based on digital image processing technique [D]. Nanjing: Hehai University, (2006).

Google Scholar