Colony counting method based on computer vision research-Reference-Cited by-同舟云学术

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Colony counting method based on computer vision research

Published:2023-12-08 Issue: Volume:48 Page:1519-1523
ISSN:
Container-title:2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST)
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Author:

Ding Xinli¹,Han Shan²,Zhu Yujuan¹,Kou Yan³,Cui Xiangzhen⁴,Zheng Xueling⁴

Affiliation:

1. Shandong Institute of Commerce and Technology,Department of Food Industry,Jinan,China

2. China Railway Jinan Group Co Ltd.,Financial Department,Jinan,China

3. Law Enforcement Supervision Bureau of Shandong Health Commission,Office of Infectious Disease Supervision,Jinan,China

4. Shandong Institute of Commerce and Technology,Department of health caring industry,Jinan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502394/10502376/10502961.pdf?arnumber=10502961

Reference19 articles.

1. Application and prospect of nondestructive testing technology in the detection of food microorganism;Miao;Food and Fermentation Industries,2022

2. The application status, technical constraints and development trend of molecular biology technology in the detection of food microorganisms by testing institutions;Ding;China Condiment,2021

3. Monocular colony depth extraction algorithms based on transfer learning;Deng;Optical Instruments,2020

4. Edge Detection Method Based on the Long-and Short-Term Synaptic Complementary Network;Yu;Chinese Journal of Biomedical Engineering,2020

5. Contour Extraction Method of Colony Images Based on Dynamic Synaptic Neural Network;Cai;Chinese Journal of Biomedical Engineering,2022

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