Wavelet Analysis of Soil Mass Images for Particle Size Determination
by Seungcheol Shin, (Grad. Student Res. Asst., Dept. of Civ. and Envir. Engrg., Univ. of Michigan, Ann Arbor, MI 48109-2125) and Roman D. Hryciw, M.ASCE, (Prof., Dept. of Civ. and Envir. Engrg., Univ. of Michigan, Ann Arbor, MI 48109-2125. E-mail: romanh@umich.edu)
Journal of Computing in Civil Engineering, Vol. 18, No. 1, January 2004, pp. 19-27, (doi: http://dx.doi.org/10.1061/(ASCE)0887-3801(2004)18:1(19))
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| Document type: |
Journal Paper |
| Abstract: |
A method for determination of average grain size from images of fairly uniform particle size soil masses is presented. The procedure utilizes two-dimensional wavelet decomposition of gray scale images. Earlier attempts to quantify grain sizes based on the statistics of co-occurrence matrices suffered from dependence on the illumination intensity and soil color. By normalizing the energy distribution from wavelet decomposition the effects of these previously problematic factors have been eliminated. A general relationship between the center of area beneath the normalized energy distribution and the perceived particle size in pixels per diameter (PPD) is established. A sample problem demonstrates that the proposed wavelet decomposition method provides accurate grain sizes for a wide range of magnification levels as long as the resulting PPD is between approximately 1 and 50. |
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