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
Parents
5
1–5 of 5
28
1
h-index
1
h-index
1 publications · 40 citations
1
h-index
1
h-index
1
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1–5 of 28
7
University of Florida
Gainesville, United States
1 h-index
7 publications
238 citations
Yonsei University
Seoul, South Korea
1 h-index
6 publications
90 citations
The University of Texas at San Antonio
San Antonio, United States
1 h-index
1 publications
34 citations
University of Perugia
Perugia, Italy
1 h-index
4 publications
192 citations
State Key Laboratory of Food Science and Technology
Wuxi, China
1 h-index
1 publications
19 citations
Jiangnan University
Wuxi, China
1 h-index
5 publications
95 citations
Beltsville Agricultural Research Center
Beltsville, United States
1 h-index
1 publications
19 citations
1–7 of 7
3 publications · 82 citations
3
h-index
1 publications · 34 citations
1
h-index
1 publications · 40 citations
1
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1–3