Study of Protozoa population in wastewater treatment plants by image analysis
Main Author: | |
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Publication Date: | 2001 |
Other Authors: | , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/1822/1532 |
Summary: | Protozoa are important microorganisms taking part to the ecosystem balance in wastewater treatment plants. A procedure for their semi-automated identification and counting based on image analysis is proposed. The main difficulty is the segmentation of the protozoa as most of them are in contact with the sludge. The protozoa are characterized by the size of their silhouette (area and length) and three shape factors (elongation, circularity and eccentricity). They are identified after projecting the resulting 5D space into a 3D space of principal components. The rate of automated identification is actually higher than 50% for some of the species commonly found in activated sludge. |
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Study of Protozoa population in wastewater treatment plants by image analysisProtozoaWastewater treatmentImage analysisScience & TechnologyProtozoa are important microorganisms taking part to the ecosystem balance in wastewater treatment plants. A procedure for their semi-automated identification and counting based on image analysis is proposed. The main difficulty is the segmentation of the protozoa as most of them are in contact with the sludge. The protozoa are characterized by the size of their silhouette (area and length) and three shape factors (elongation, circularity and eccentricity). They are identified after projecting the resulting 5D space into a 3D space of principal components. The rate of automated identification is actually higher than 50% for some of the species commonly found in activated sludge.National Council of Scientific and Technological Development of Brazil (CNPq). Embassy of France in Portugal. Instituto de Cooperação Científica e Tecnológica Internacional (ICCTI).Associação Brasileira de Engenharia Química (ABEQ)Universidade do MinhoMotta, Maurício daPons, M. N.Vivier, H.Amaral, A. L.Ferreira, Eugénio C.Roche, N.Mota, M.2001-032001-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/1532eng"Brazilian journal of chemical engineering". ISSN 0104-6632. 18:1 (2001) 103-111.0104-6632info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:37:10Zoai:repositorium.sdum.uminho.pt:1822/1532Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:53:31.635135Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Study of Protozoa population in wastewater treatment plants by image analysis |
title |
Study of Protozoa population in wastewater treatment plants by image analysis |
spellingShingle |
Study of Protozoa population in wastewater treatment plants by image analysis Motta, Maurício da Protozoa Wastewater treatment Image analysis Science & Technology |
title_short |
Study of Protozoa population in wastewater treatment plants by image analysis |
title_full |
Study of Protozoa population in wastewater treatment plants by image analysis |
title_fullStr |
Study of Protozoa population in wastewater treatment plants by image analysis |
title_full_unstemmed |
Study of Protozoa population in wastewater treatment plants by image analysis |
title_sort |
Study of Protozoa population in wastewater treatment plants by image analysis |
author |
Motta, Maurício da |
author_facet |
Motta, Maurício da Pons, M. N. Vivier, H. Amaral, A. L. Ferreira, Eugénio C. Roche, N. Mota, M. |
author_role |
author |
author2 |
Pons, M. N. Vivier, H. Amaral, A. L. Ferreira, Eugénio C. Roche, N. Mota, M. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Motta, Maurício da Pons, M. N. Vivier, H. Amaral, A. L. Ferreira, Eugénio C. Roche, N. Mota, M. |
dc.subject.por.fl_str_mv |
Protozoa Wastewater treatment Image analysis Science & Technology |
topic |
Protozoa Wastewater treatment Image analysis Science & Technology |
description |
Protozoa are important microorganisms taking part to the ecosystem balance in wastewater treatment plants. A procedure for their semi-automated identification and counting based on image analysis is proposed. The main difficulty is the segmentation of the protozoa as most of them are in contact with the sludge. The protozoa are characterized by the size of their silhouette (area and length) and three shape factors (elongation, circularity and eccentricity). They are identified after projecting the resulting 5D space into a 3D space of principal components. The rate of automated identification is actually higher than 50% for some of the species commonly found in activated sludge. |
publishDate |
2001 |
dc.date.none.fl_str_mv |
2001-03 2001-03-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/1532 |
url |
https://hdl.handle.net/1822/1532 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
"Brazilian journal of chemical engineering". ISSN 0104-6632. 18:1 (2001) 103-111. 0104-6632 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Química (ABEQ) |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Química (ABEQ) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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