DocumentCode :
2080802
Title :
Application of digital image processing technology in geotechnical engineering
Author :
Cui, Meng ; Hong, Baoning ; Fang, Qingjun
Author_Institution :
Coll. of Civil & Transp. Eng., Hohai Univ., Nanjing, China
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
2386
Lastpage :
2389
Abstract :
Use the digital image processing method to describe the microstructure characteristics of different geotechnical materials. Firstly, the microstructure images of different geotechnical materials were obtained by Charged Coupled Device (CCD) camera and long distance microscope. Secondly, the clear parts of the same geotechnical material image which were taken at the same point but different focus were obtained by technology of multi-resolution wavelet transform in digital image processing method and combined to get a high definition image. And then the high definition images were enhanced by histogram equalization process to highlight the contrast ratio. Finally, the images were divided according to the threshold which was automatically extracted by the maximum deviation to extract the microstructure parameters of geotechnical material. After processing images of different geotechnical materials, it shows that the digital image processing technology which is studied could well apply to describe the microstructure characteristics of different geotechnical materials.
Keywords :
CCD image sensors; feature extraction; geotechnical engineering; image resolution; image segmentation; soil; structural engineering computing; wavelet transforms; CCD; charged coupled device camera; digital image processing technology; geotechnical engineering; geotechnical materials microstructure characteristics; geotechnical materials microstructure images; histogram equalization process; long distance microscope; microstructure parameter extraction; multiresolution wavelet transform technology; Digital images; Fractals; Histograms; Image segmentation; Materials; Microstructure; Soil; digital image; geotechnical material; microstructure; microstructure parameter; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
Type :
conf
DOI :
10.1109/TMEE.2011.6199701
Filename :
6199701
Link To Document :
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