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
Parents
70
WISARD·a radical step forward in image recognition
Igor Aleksander, Wischgoll Thomas, P. Bowden · Sensor Review · 1984 · 303 citations
Maria Koskinopoulou, Fredy Raptopoulos, George Papadopoulos et al. · IEEE Robotics & Automation Magazine · 2021 · 159 citations
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Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany
2 publications · 46 citations
2
h-index
1–5 of 238
80

University of Arkansas at Fayetteville
Fayetteville, United States
2 h-index
2 publications
36 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
7 publications
157 citations
Technical University of Cluj-Napoca
Cluj-Napoca, Romania
2 h-index
5 publications
118 citations

National University of Malaysia
Bangi, Malaysia
2 h-index
10 publications
165 citations
Center for Grain and Animal Health Research
Manhattan, United States
2 h-index
3 publications
96 citations
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Karlsruhe, Germany
2 h-index
7 publications
165 citations

Agricultural Research Service
Washington, United States
2 h-index
3 publications
96 citations

Jinan University
Guangzhou, China
1 h-index
6 publications
108 citations
1–8 of 80
4 publications · 375 citations
4
h-index
3 publications · 81 citations
3
h-index
2 publications · 66 citations
2
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2 publications · 33 citations
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2 publications · 35 citations
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