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    Soil Particle Size Distribution by Mosaic Imaging and Watershed Analysis

    Source: Journal of Computing in Civil Engineering:;1999:;Volume ( 013 ):;issue: 002
    Author:
    Ali M. Ghalib
    ,
    Roman D. Hryciw
    DOI: 10.1061/(ASCE)0887-3801(1999)13:2(80)
    Publisher: American Society of Civil Engineers
    Abstract: A new method is presented for obtaining soil grain size distribution curves from digital images of a soil specimen. The technique offers several improvements over existing methods by adapting mosaic imaging and watershed analysis. The mosaic imaging allows the grain size distribution to be developed using a single magnification level adjusted for the finest particles in the soil. By taking many successive images on a regular grid pattern and combining them into one “mosaic” image, a previous need for statistical corrections for grains along image boundaries is also eliminated. The watershed method for segmentation of the particles eliminates the previous requirement of having all particles in the soil detached on the viewing table. A shape adjustment factor, λ
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      Soil Particle Size Distribution by Mosaic Imaging and Watershed Analysis

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    https://yetl.yabesh.ir/yetl1/handle/yetl/42979
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    contributor authorAli M. Ghalib
    contributor authorRoman D. Hryciw
    date accessioned2017-05-08T21:12:48Z
    date available2017-05-08T21:12:48Z
    date copyrightApril 1999
    date issued1999
    identifier other%28asce%290887-3801%281999%2913%3A2%2880%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/42979
    description abstractA new method is presented for obtaining soil grain size distribution curves from digital images of a soil specimen. The technique offers several improvements over existing methods by adapting mosaic imaging and watershed analysis. The mosaic imaging allows the grain size distribution to be developed using a single magnification level adjusted for the finest particles in the soil. By taking many successive images on a regular grid pattern and combining them into one “mosaic” image, a previous need for statistical corrections for grains along image boundaries is also eliminated. The watershed method for segmentation of the particles eliminates the previous requirement of having all particles in the soil detached on the viewing table. A shape adjustment factor, λ
    publisherAmerican Society of Civil Engineers
    titleSoil Particle Size Distribution by Mosaic Imaging and Watershed Analysis
    typeJournal Paper
    journal volume13
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)0887-3801(1999)13:2(80)
    treeJournal of Computing in Civil Engineering:;1999:;Volume ( 013 ):;issue: 002
    contenttypeFulltext
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