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Title: DEVELOPMENT OF COMPUTER VISION TECHNIQUE FOR IN SITU SOIL CHARACTERIZATION
Accession Number: 00730320
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: Construction and rehabilitation of highways, tunnels, and bridges require detailed information about subsurface stratigraphy. This study presents development of a new method for characterizing subsurface soil in situ using computer vision. Hardware and software systems are integrated to obtain the grain-size distribution (GSD) of subsurface soils continuously with depth and to identify small-scale subsurface anomalies. Research is being conducted in three phases. The first phase consists of measuring the GSD of detached cohesionless soil specimens in the laboratory from digital images obtained with a computer vision system (CVS). The second phase uses the CVS to develop image processing and analysis techniques to classify soil assemblies in the laboratory and identify subsurface anomalies by simulating the manner in which images will be acquired in situ. A texture analysis approach has been developed that can detect changes in stratigraphy. The technique has been successful in identifying different types of dry, uniformly graded soils. Finally, a subsurface vision probe is being designed and constructed that will capture video images at three different levels of magnification continuously with depth.
Supplemental Notes: This paper appears in Transportation Research Record No. 1526, Emerging Technologies in Geotechnical Engineering.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Hryciw, R DRaschke, S APagination: p. 86-97
Publication Date: 1996
Serial: ISBN: 0309062209
Features: Figures
(10)
; References
(9)
TRT Terms: Uncontrolled Terms: Old TRIS Terms: Subject Areas: Geotechnology; Highways; Materials; I41: General Soil Surveys
Files: TRIS, TRB
Created Date: Dec 26 1997 12:00AM
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