Computer Vision-based Sorting
Computer Vision-Based Sorting is a method within automated sorting systems that uses digital image processing and pattern recognition techniques to identify, classify, and segregate objects based on visual features extracted from images captured by optical sensors.
185
Publications
7.9K
Citations
672
Authors
268
Institutions
Publications per year
2017–2026
93
Parents
185
WISARD·a radical step forward in image recognition
Igor Aleksander, Wischgoll Thomas, P. Bowden · Sensor Review · 1984 · 303 citations
1–5 of 185
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Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany
4 publications · 89 citations
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1–5 of 672
268
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Karlsruhe, Germany
4 h-index
16 publications
348 citations

Agricultural Research Organization
Rishon LeZiyyon, Israel
4 h-index
12 publications
612 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
4 h-index
11 publications
222 citations
Ho Chi Minh City University of Technology and Engineering
Ho Chi Minh City, Vietnam
3 h-index
5 publications
92 citations
Michigan State University
East Lansing, United States
3 h-index
4 publications
541 citations

Agricultural Research Service
Washington, United States
3 h-index
5 publications
486 citations
Instituto Valenciano de Investigaciones Agrarias
Moncada, Spain
3 h-index
11 publications
1.4K citations

Tohoku University
Sendai, Japan
3 h-index
6 publications
294 citations
1–8 of 268
10 publications · 963 citations
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9 publications · 254 citations
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5 publications · 273 citations
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4 publications · 177 citations
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3 publications · 87 citations
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