Image-based Foreign Body Screening

Image-Based Foreign Body Screening is a computational method that identifies unintended physical contaminants within products by analyzing visual data through automated image processing and machine learning techniques to distinguish anomalous objects from surrounding materials.

5

Publications

156

Citations

28

Authors

7

Institutions

Publications per year

2017–2026

2

Authors

28

  1. QZ
    Qibing Zhu

    Jiangnan University, China

    1 publications · 19 citations

    1

    h-index

  2. RM
    ROSS MALOT

    The University of Texas at San Antonio, United States

    1 publications · 34 citations

    1

    h-index

  3. MM
    Mohamed Mansoor Roomi

    1 publications · 40 citations

    1

    h-index

  4. LS
    Luca Senni

    University of Perugia, Italy

    1 publications · 48 citations

    1

    h-index

  5. EV
    Edward V. Staab

    University of Florida, United States

    1 publications · 34 citations

    1

    h-index

1–5 of 28

Venues

  1. Journal of Food Engineering

    3 publications · 82 citations

    3

    h-index

  2. Investigative Radiology

    1 publications · 34 citations

    1

    h-index

  3. 1

    h-index

1–3