Image-based Grain Analysis

Image-Based Grain Analysis is a methodological framework within sediment texture analysis that uses digital image processing techniques to quantify grain size, shape, and spatial distribution in sediment samples, distinguishing itself from traditional sieving or laser diffraction methods by enabling non-destructive, high-resolution, two-dimensional characterization of granular materials.

217

Publications

10.5K

Citations

705

Authors

359

Institutions

Publications per year

2017–2026

67

Authors

705

  1. ND
    N. D. G. White

    Agriculture and Agri-Food Canada, Canada

    4 publications · 192 citations

    4

    h-index

  2. RD
    Roman D. Hryciw

    University of Michigan, United States

    3 publications · 93 citations

    3

    h-index

  3. JP
    Jitendra Paliwal

    University of Manitoba, Canada

    3 publications · 161 citations

    3

    h-index

  4. DM
    David M. Rubin

    United States Geological Survey, United States

    3 publications · 423 citations

    3

    h-index

  5. DS
    D. S. Jayas

    University of Manitoba, Canada

    3 publications · 136 citations

    3

    h-index

1–5 of 705

Venues

  1. Computers & Geosciences

    CAGEO · 12 publications · 538 citations

    12

    h-index

  2. Sedimentary Geology

    9 publications · 523 citations

    9

    h-index

  3. Powder Technology

    6 publications · 303 citations

    6

    h-index

  4. Earth Surface Processes and Landforms

    6 publications · 244 citations

    6

    h-index

  5. Computers and Electronics in Agriculture

    7 publications · 337 citations

    6

    h-index

1–5