NIST · ИТ · da7b988bd9311583d558
Detection of Dense, Overlapping, Geometric Objects
Using a unique data collection, we are able to study the detection of dense geometric objects in image data where object density, clarity, and size vary. The data is a large set of black and white images of scatterplots, taken from journals reporting
NIST · ИТОфициальный источник · 2020-07-01
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"title_en": "Detection of Dense, Overlapping, Geometric Objects",
"designation": "",
"series": "",
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"date": "2020-07-01",
"date_original": "July 1, 2020",
"url": "https://www.nist.gov/publications/detection-dense-overlapping-geometric-objects",
"source": "NIST Publications",
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"authors_en": "Adele P. Peskin , Boris Wilthan , Michael P. Majurski",
"abstract_excerpt_en": "Using a unique data collection, we are able to study the detection of dense geometric objects in image data where object density, clarity, and size vary. The data is a large set of black and white images of scatterplots, taken from journals reporting",
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"title_en": "Detection of Dense, Overlapping, Geometric Objects",
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"authors_en": "Adele P. Peskin , Boris Wilthan , Michael P. Majurski",
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