Vision-based Sorting

Vision-Based Sorting is a non-invasive analytical method within mineral processing that distinguishes ore from waste through optical sensors and digital image analysis to enable automated particle classification based on surface characteristics, reflectance properties, or compositional indicators.

70

Publications

2.7K

Citations

238

Authors

80

Institutions

Publications per year

2017–2026

31

Authors

238

  1. TP
    Tom Pearson

    Center for Grain and Animal Health Research, United States

    3 publications · 82 citations

    3

    h-index

  2. MO
    Mohammad Osiur Rahman

    National University of Malaysia, Malaysia

    2 publications · 33 citations

    2

    h-index

  3. RH
    Rodica Holonec

    Technical University of Cluj-Napoca, Romania

    2 publications · 49 citations

    2

    h-index

  4. BN
    Benjamin Noack

    Karlsruhe Institute of Technology, Germany

    2 publications · 46 citations

    2

    h-index

  5. JB
    Jürgen Beyerer

    Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany

    2 publications · 46 citations

    2

    h-index

1–5 of 238

Venues

  1. Computers and Electronics in Agriculture

    4 publications · 375 citations

    4

    h-index

  2. Sensors

    3 publications · 81 citations

    3

    h-index

  3. Applied Sciences

    2 publications · 66 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5