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Common Posterior Animal Image Recognition System in Activated Sludge
Li, XP (Li, Xiuping)1; Han, CH (Han, Conghai)2
Source PublicationACTA MICROSCOPICA
2019
Volume28Issue:5Pages:1279-1288
Abstract

With the improvement of people's living standards and the improvement of urbanization level, urban sewage discharges have increased rapidly. Therefore, urban sewage treatment has become more and more important. At present, municipal sewage treatment mainly uses activated sludge method that is, using microbial metabolism in activated sludge to purify water quality. These microorganisms can not only purify water, but also predict the water quality caused by the influence of water quality environment. Monitoring, analyzing and judging various changes in microorganisms can adjust the process control of the sewage treatment system adjusted scientifically and in a timely manner. Among these microorganisms, protozoa and metazoans have very important indications. Therefore, it is important to identify, classify and count protozoa that are common in activated sludge. In this paper, the microscopic image recognition of protozoa and metazoan in the activated sludge system of Yunnan Province was studied. Based on the characteristics of microscopic images, the image recognition of the original metazoan was studied and the protozoa and metazoans in the activated sludge system were introduced. The counting algorithm and implementation scheme lay the foundation for further research on the counting algorithm. Experiments show that the recognition accuracy is proportional to the resolution of the image. When the resolution is high, the corresponding image recognition rate is higher. Through experiments, it is also verified that it can accurately identify the number of different insects.

Subject AreaMicroscopy
WOS IDWOS:000477729800039
Language英语
Indexed BySCI
KeywordOriginal Metazoan Activated Sludge Image Processing Counting Feature Extraction
WOS Research AreaMicroscopy
WOS SubjectMicroscopy
Cooperation Status国内
ISSN0798-4545
Department高寒生态与人类适应
URL查看原文
PublisherCOMITE INTERAMERICANO SOC MICROSCOPIA ELECTRONICA-CIASEM
SubtypeArticle
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Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9442
Collection图书馆
Corresponding AuthorLi, XP (Li, Xiuping)
Affiliation1.Southeast Univ, Sch Econ & Management, Sch Math, Nanjing 210096, Jiangsu, Peoples R China;
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100085, Peoples R China.
Recommended Citation
GB/T 7714
Li, XP ,Han, CH . Common Posterior Animal Image Recognition System in Activated Sludge[J]. ACTA MICROSCOPICA,2019,28(5):1279-1288.
APA Li, XP ,&Han, CH .(2019).Common Posterior Animal Image Recognition System in Activated Sludge.ACTA MICROSCOPICA,28(5),1279-1288.
MLA Li, XP ,et al."Common Posterior Animal Image Recognition System in Activated Sludge".ACTA MICROSCOPICA 28.5(2019):1279-1288.
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