Innovations in Optical Geocharacterization

With exponential increases in digital camera resolution, the last 15 years have witnessed major advances in the use of image analysis in geotechnical engineering. This paper highlights the history of photography and image analysis. It includes a d atabase of 100 recent references describing the use of image analysis in four geotechnical areas: site characterization; earth mass characterization; particle characterization; motion and deformation. Also described are the authors' development of image analysis systems for particle size and shape characterization. They include the Translucent Segregation Table (TST), Sedimaging, the Vision Cone Penetrometer (VisCPT), Stereophotography and In-situ Particle Tracking. Future research will lead to the estimation of intrinsic soil properties based on detailed assessment of particle size and shape distributions from images of both non- contacting and three-dimensional assemblies of particles.

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[37]  Sudeep Sarkar,et al.  Modeling of Crack Depths in Digital Images of Concrete Pavements Using Optical Reflection Properties , 2010 .

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[43]  Kentaro Uesugi,et al.  3D Shape Characterization and Image-Based DEM Simulation of the Lunar Soil Simulant FJS-1 , 2009 .

[44]  Paul L. Rosin,et al.  Monitoring landslides from optical remotely sensed imagery: the case history of Tessina landslide, Italy , 2003 .

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[46]  Kimitoshi Hayano,et al.  Image analysis techniques on evaluation of particle size distribution of gravel , 2012 .

[47]  L. C. Wang,et al.  Digital Image Analysis of Dynamic Compaction Effects on Clay Fills , 2005 .

[48]  Erol Tutumluer,et al.  Determination of Volume of Aggregates: New Image-Analysis Approach , 2000 .

[49]  Murat Ercanoglu,et al.  Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey) , 2012, Comput. Geosci..

[50]  K. Sobhan,et al.  Permanent Strain Characterization in Granular Materials using Repeated Load Triaxial Tests and Digital Image Correlation (DIC) Technique , 2008 .

[51]  Pablo Segarra,et al.  A Practical Procedure for the Measurement of Fragmentation by Blasting by Image Analysis , 2006 .

[52]  Mariusz MŁynarczuk,et al.  Description and classification of rock surfaces by means of laser profilometry and mathematical morphology , 2010 .

[53]  Stein Sture,et al.  Sand Shear Band Thickness Measurements by Digital Imaging Techniques , 1999 .

[54]  D. Vidal,et al.  Determination of particle shape distribution of clay using an automated AFM image analysis method , 2010 .

[55]  E. Tutumluer,et al.  Aggregate Morphology Affecting Strength and Permanent Deformation Behavior of Unbound Aggregate Materials , 2008 .

[56]  Peter J. Bosscher,et al.  MEASUREMENT OF PARTICLE MOVEMENT IN GRANULAR SOILS USING IMAGE ANALYSIS , 1999 .

[58]  James Donovan,et al.  Three-Dimensional Digital Imaging for the Identification, Evaluation and Management of Unstable Highway Slopes , 2008 .

[59]  Ahmet H. Aydilek,et al.  Digital Image Analysis to Determine Pore Opening Size Distribution of Nonwoven Geotextiles , 2002 .

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[64]  Keiichi Akimoto,et al.  Tunnel profile measurement by vision metrology toward application to NATM , 2003, IS&T/SPIE Electronic Imaging.

[65]  James S Lai,et al.  Three-Dimensional Image Analysis of Aggregate Particles from Orthogonal Projections , 1996 .

[66]  E. Rathje,et al.  Deformations of a Rapidly Moving Landslide from High-Resolution Optical Satellite Imagery , 2013 .

[67]  Chris Aldrich,et al.  Estimation of Particulate Fines on Conveyor Belts by Use of Wavelets and Morphological Image Processing , 2011 .

[68]  Magued Iskander,et al.  Accuracy of Digital Image Correlation for Measuring Deformations in Transparent Media , 2003 .

[69]  Pierre Francus,et al.  An image-analysis technique to measure grain-size variation in thin sections of soft clastic sediments , 1998 .

[70]  R. D. Hryciw,et al.  Effect of particle morphology on the monotonic response of gravel-sized soils through large-scale simple shear testing , 2014 .

[71]  D. Penumadu,et al.  Water Distribution Variation in Partially Saturated Granular Materials Using Neutron Imaging. , 2012, Journal of geotechnical and geoenvironmental engineering.

[72]  Sou-Sen Leu,et al.  Digital image processing based approach for tunnel excavation faces , 2005 .

[73]  Jens Gregor,et al.  High-Resolution Neutron and X-Ray Imaging of Granular Materials , 2013 .

[74]  R. D. Hryciw,et al.  Translucent segregation table test for sand and gravel particle size distribution , 2013 .

[75]  C. Chandan,et al.  Application of imaging techniques to geometry analysis of aggregate particles , 2004 .

[76]  Eyad Masad,et al.  Experimental Methods for the Evaluation of Aggregate Resistance to Polishing, Abrasion, and Breakage , 2007 .

[77]  Fu-Shu Jeng,et al.  Application and validation of profile–image method for measuring deformation of tunnel wall , 2009 .

[78]  Leslie George Tham,et al.  Digital image-based numerical modeling method for prediction of inhomogeneous rock failure , 2004 .

[79]  Jason T. DeJong,et al.  Evolution of Sand-Structure Interface Response during Monotonic Shear Using Particle Image Velocimetry , 2006 .

[80]  Dayakar Penumadu,et al.  APPLICATION OF FOURIER ANALYSIS TO DIGITAL IMAGING FOR PARTICLE SHAPE ANALYSIS , 2004 .

[81]  Roman D. Hryciw,et al.  Wavelet Analysis of Soil Mass Images for Particle Size Determination , 2004 .

[82]  R. D. Hryciw,et al.  Soil Particle Size Characterization by Stereophotography , 2014 .

[83]  L. Banta,et al.  Estimation of limestone particle mass from 2D images , 2003 .

[84]  Roman D. Hryciw,et al.  Soil stratigraphy delineation by VisCPT , 2000 .

[85]  Roman D. Hryciw,et al.  Thin soil layer detection by VisCPT and FEM simulations , 2009 .

[86]  Reed B. Freeman,et al.  Imaging Indices for Quantification of Shape, Angularity, and Surface Texture of Aggregates , 2000 .

[87]  Yongsub Jung Determination of soil grain size distribution by soil sedimentation and image processing , 2010 .