ISSN 1000-3665 CN 11-2202/P
    GUTian-feng, . Research on mesoscopic pore of loess based on image processing of SVM[J]. Hydrogeology & Engineering Geology, 2010, 37(6): 102-106.
    Citation: GUTian-feng, . Research on mesoscopic pore of loess based on image processing of SVM[J]. Hydrogeology & Engineering Geology, 2010, 37(6): 102-106.

    Research on mesoscopic pore of loess based on image processing of SVM

    • By applying the SVM theory in a quantitative analysis of loess SEM images,this paper puts forward a new method for calculating soil microstructure parameters,which convert pore zone distinguishment to pore pixel dot assortment.Q3 loess SEM images before and after seismic subsidence test are processed by using the above method and parameters such as pore numbers,pore areas,surface porosity,pore fractal dimension and pore distribution graph are achieved.The results show that after test macropores ...
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