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Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 13 | Page No.: 2387-2395
DOI: 10.3923/jas.2008.2387.2395
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A Novel Approach to Measure the Volume Change of Triaxial Soil Samples Based on Image Processing

A.R. Bagherieh, G. Habibagahi and A. Ghahramani


A new technique for measuring the volume change of triaxial soil sample is presented in this research. A digital camera located at a fixed location takes images from the sample during the test. An edge detection procedure based on wavelet transform is introduced. This method can effectively trace the sample boundaries. Refraction of the light in water and plexiglass causes distortion and magnification of the image. Besides, errors induced by improper manufacturing of the lens may also cause image distortion. It is found that the nature of distortion for a triaxial soil sample is very complicated and no theoretical method is available for its calibration. Indeed, conventional regression methods fail for this problem. A feed forward back propagation neural network is used as a pattern recognition tool. The trained network can recognize the pattern of distortion and the corresponding errors are eliminated. This method can be adopted as an easy and inexpensive approach for unsaturated soils, where the soil volume change cannot be determined from the net water flow into or out of the soil specimen. The results of volume changes obtained by this method are in good agreement with the conventional method for saturated soils.

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How to cite this article:

A.R. Bagherieh, G. Habibagahi and A. Ghahramani, 2008. A Novel Approach to Measure the Volume Change of Triaxial Soil Samples Based on Image Processing. Journal of Applied Sciences, 8: 2387-2395.

DOI: 10.3923/jas.2008.2387.2395






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