Digital image elasto-tomography: mechanical property estimation of silicone phantoms

2007 ◽  
Vol 46 (3) ◽  
pp. 205-212 ◽  
Author(s):  
Ashton Peters ◽  
J. Geoffrey Chase ◽  
Elijah E. W. Van Houten
Keyword(s):  
Mechanical Property ◽  
Digital Image ◽  
Property Estimation ◽  
Silicone Phantoms

scholarly journals Digital Image-Based Elasto-Tomography: First Experiments in Surface Based Mechanical Property Estimation of Gelatine Phantoms

2005 ◽  
Vol 48 (4) ◽  
pp. 562-569 ◽  
Author(s):  
Ashton PETERS ◽  
Stefan WORTMANN ◽  
Rodney ELLIOTT ◽  
Mark STAIGER ◽  
James Geoffrey CHASE ◽  
...  
Keyword(s):  
Mechanical Property ◽  
Digital Image ◽  
Property Estimation

scholarly journals Digital Image-Based Elasto-Tomography: Proof of Concept Studies for Surface Based Mechanical Property Reconstruction

2004 ◽  
Vol 47 (4) ◽  
pp. 1117-1123 ◽  
Author(s):  
Ashton PETERS ◽  
Arnaud MILSANT ◽  
Jérôme ROUZÉ ◽  
Lawrence RAY ◽  
James Geoffrey CHASE ◽  
...  
Keyword(s):  
Mechanical Property ◽  
Digital Image ◽  
Proof Of Concept

Study on Soil Particle Size Distribution by Digital Image Processing

2013 ◽  
Vol 788 ◽  
pp. 627-630
Author(s):  
Jian Shu Hou
Keyword(s):  
Mechanical Property ◽  
Image Processing ◽  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Digital Image ◽  
Traditional Method ◽  
Processing Method ◽  
Distribution Analysis ◽  
Processing Technologies

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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