Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system

Bibliographic Details
Main Author: Ginoris, Y. P.
Publication Date: 2007
Other Authors: Amaral, A. L., Nicolau, Ana, Coelho, M. A. Z., Ferreira, Eugénio C.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/6665
Summary: A procedure for the semi-automatic identification of the main protozoa and metazoa species present in the activated sludge of wastewater treatment plants was developed. This procedure was based on both image processing and multivariable statistical methodologies, leading to the use of the image analysis morphological descriptors by discriminant analysis and neural network techniques. The image analysis programwritten in Matlab has proved to be adequate in terms of protozoa and metazoa recognition, as well as for the operating conditions assessment.
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spelling Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge systemProtozoaMetazoaImage analysisPattern recognitionScience & TechnologyA procedure for the semi-automatic identification of the main protozoa and metazoa species present in the activated sludge of wastewater treatment plants was developed. This procedure was based on both image processing and multivariable statistical methodologies, leading to the use of the image analysis morphological descriptors by discriminant analysis and neural network techniques. The image analysis programwritten in Matlab has proved to be adequate in terms of protozoa and metazoa recognition, as well as for the operating conditions assessment.National Council of Scientific and Technological Development of Brazil (CNPq); BIEURAM III ALFA co-operation project (European Commission); Fundação para a Ciência e a Tecnologia (FCT)ElsevierUniversidade do MinhoGinoris, Y. P.Amaral, A. L.Nicolau, AnaCoelho, M. A. Z.Ferreira, Eugénio C.2007-062007-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/6665eng"Water research". ISSN 0043-1354. 41:12 (June 2007) 2581-2589.0043-135410.1016/j.watres.2007.02.00617399764info: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:RCAAP2025-04-12T05:01:24Zoai:repositorium.sdum.uminho.pt:1822/6665Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:54:58.399192Repositórios 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 Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system
title Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system
spellingShingle Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system
Ginoris, Y. P.
Protozoa
Metazoa
Image analysis
Pattern recognition
Science & Technology
title_short Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system
title_full Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system
title_fullStr Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system
title_full_unstemmed Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system
title_sort Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system
author Ginoris, Y. P.
author_facet Ginoris, Y. P.
Amaral, A. L.
Nicolau, Ana
Coelho, M. A. Z.
Ferreira, Eugénio C.
author_role author
author2 Amaral, A. L.
Nicolau, Ana
Coelho, M. A. Z.
Ferreira, Eugénio C.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ginoris, Y. P.
Amaral, A. L.
Nicolau, Ana
Coelho, M. A. Z.
Ferreira, Eugénio C.
dc.subject.por.fl_str_mv Protozoa
Metazoa
Image analysis
Pattern recognition
Science & Technology
topic Protozoa
Metazoa
Image analysis
Pattern recognition
Science & Technology
description A procedure for the semi-automatic identification of the main protozoa and metazoa species present in the activated sludge of wastewater treatment plants was developed. This procedure was based on both image processing and multivariable statistical methodologies, leading to the use of the image analysis morphological descriptors by discriminant analysis and neural network techniques. The image analysis programwritten in Matlab has proved to be adequate in terms of protozoa and metazoa recognition, as well as for the operating conditions assessment.
publishDate 2007
dc.date.none.fl_str_mv 2007-06
2007-06-01T00:00:00Z
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/1822/6665
url https://hdl.handle.net/1822/6665
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv "Water research". ISSN 0043-1354. 41:12 (June 2007) 2581-2589.
0043-1354
10.1016/j.watres.2007.02.006
17399764
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 Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833595620151001088

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