A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches

Jiawei Zhang; Chen Li; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao; Tao Jiang; Marcin Grzegorzek

doi:10.1007/s10462-021-10082-4

A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches

Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek

Northeastern University China

Originalsprache	Englisch
Zeitschrift	Artificial Intelligence Review (Springer, IF: 8.139)
Seitenumfang	1
ISSN	1573-7462
DOIs	https://doi.org/10.1007/s10462-021-10082-4
Publikationsstatus	Veröffentlicht - 01.09.2021

Strategische Forschungsbereiche und Zentren

Zentren: Zentrum für Künstliche Intelligenz Lübeck (ZKIL)

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Dokumente

10.1007/s10462-021-10082-4

Zitieren

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title = "A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches",

author = "Jiawei Zhang and Chen Li and Rahaman, {Md Mamunur} and Yudong Yao and Pingli Ma and Jinghua Zhang and Xin Zhao and Tao Jiang and Marcin Grzegorzek",

note = "DOI: https://doi.org/10.1007/s10462-021-10082-410.1007/s10462-021-10082-4",

year = "2021",

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T1 - A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches

AU - Zhang, Jiawei

AU - Li, Chen

AU - Rahaman, Md Mamunur

AU - Yao, Yudong

AU - Ma, Pingli

AU - Zhang, Jinghua

AU - Zhao, Xin

AU - Jiang, Tao

AU - Grzegorzek, Marcin

N1 - DOI: https://doi.org/10.1007/s10462-021-10082-410.1007/s10462-021-10082-4

PY - 2021/9/1

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U2 - 10.1007/s10462-021-10082-4

DO - 10.1007/s10462-021-10082-4

M3 - Journal articles

SN - 1573-7462

JO - Artificial Intelligence Review (Springer, IF: 8.139)

JF - Artificial Intelligence Review (Springer, IF: 8.139)

ER -