Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram
Descripción del Articulo
Our acknowledgment to San Pablo Catholic University for sponsoring the publication of this article and support the development of this work and the Presidency of the Council of Ministers of Peru through the Science and Technology Fund (FINCyT) and Council for Science, Technology and Innovation of Pe...
| Autores: | , , , |
|---|---|
| Formato: | objeto de conferencia |
| Fecha de Publicación: | 2014 |
| Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
| Repositorio: | CONCYTEC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/1108 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12390/1108 |
| Nivel de acceso: | acceso abierto |
| Materia: | Multitexton Histogram descriptor CBIR Human Parasite Eggs https://purl.org/pe-repo/ocde/ford#2.06.02 |
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CONCYTEC-Institucional |
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| dc.title.none.fl_str_mv |
Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram |
| title |
Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram |
| spellingShingle |
Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram Flores-Quispe, R Multitexton Histogram descriptor CBIR Human Parasite Eggs https://purl.org/pe-repo/ocde/ford#2.06.02 |
| title_short |
Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram |
| title_full |
Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram |
| title_fullStr |
Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram |
| title_full_unstemmed |
Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram |
| title_sort |
Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram |
| author |
Flores-Quispe, R |
| author_facet |
Flores-Quispe, R Velazco-Paredes, Y Escarcina, REP Castanon, CAB |
| author_role |
author |
| author2 |
Velazco-Paredes, Y Escarcina, REP Castanon, CAB |
| author2_role |
author author author |
| dc.contributor.author.fl_str_mv |
Flores-Quispe, R Velazco-Paredes, Y Escarcina, REP Castanon, CAB |
| dc.subject.none.fl_str_mv |
Multitexton Histogram descriptor |
| topic |
Multitexton Histogram descriptor CBIR Human Parasite Eggs https://purl.org/pe-repo/ocde/ford#2.06.02 |
| dc.subject.es_PE.fl_str_mv |
CBIR Human Parasite Eggs |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.06.02 |
| description |
Our acknowledgment to San Pablo Catholic University for sponsoring the publication of this article and support the development of this work and the Presidency of the Council of Ministers of Peru through the Science and Technology Fund (FINCyT) and Council for Science, Technology and Innovation of Peru (CONCYTEC) for support of this work through the doctoral fellowships for Roxana Flores and Yuber Velazco". |
| publishDate |
2014 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.issued.fl_str_mv |
2014 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
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conferenceObject |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/1108 |
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345778100023 |
| url |
https://hdl.handle.net/20.500.12390/1108 |
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345778100023 |
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eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
IEEE Computer Society |
| publisher.none.fl_str_mv |
IEEE Computer Society |
| dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
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Consejo Nacional de Ciencia Tecnología e Innovación |
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CONCYTEC |
| institution |
CONCYTEC |
| reponame_str |
CONCYTEC-Institucional |
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CONCYTEC-Institucional |
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Repositorio Institucional CONCYTEC |
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repositorio@concytec.gob.pe |
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1844883047437041664 |
| spelling |
Publicationrp03133600rp03134600rp03135600rp01013500Flores-Quispe, RVelazco-Paredes, YEscarcina, REPCastanon, CAB2024-05-30T23:13:38Z2024-05-30T23:13:38Z2014https://hdl.handle.net/20.500.12390/1108345778100023Our acknowledgment to San Pablo Catholic University for sponsoring the publication of this article and support the development of this work and the Presidency of the Council of Ministers of Peru through the Science and Technology Fund (FINCyT) and Council for Science, Technology and Innovation of Peru (CONCYTEC) for support of this work through the doctoral fellowships for Roxana Flores and Yuber Velazco".The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, for that reason in this study content-based image retrieval is applied to classificate eight different human parasite eggs: Ascarias, Uncinarias, Trichuris, Dyphillobothrium-Pacificum, Taenia-Solium, Fasciola Hepática and Enterobius-Vermicularis, which are into the class of Helminthes, from their microscopic images. This proposed system includes two stages. In first stage, a feature extraction mechanism that is based on multitexton histogram descriptor (MTH) which has been improved and called 'Enhanced MTH'. In second stage, an CBIR system has been implemented in orden to classificate the differents microscopic images to identify their correct species. Finally, simulation result shows overall success rates of 92,16% in the classification.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengIEEE Computer Societyinfo:eu-repo/semantics/openAccessMultitexton Histogram descriptorCBIR-1Human Parasite Eggs-1https://purl.org/pe-repo/ocde/ford#2.06.02-1Classification of Human Parasite Eggs based on Enhanced Multitexton Histograminfo:eu-repo/semantics/conferenceObjectreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/1108oai:repositorio.concytec.gob.pe:20.500.12390/11082024-05-30 15:23:41.799http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="a5a24e4e-d9b4-4126-abd2-5a159126a6b4"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Classification of Human Parasite Eggs based on Enhanced Multitexton Histogram</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2014</PublicationDate> <ISI-Number>345778100023</ISI-Number> <Authors> <Author> <DisplayName>Flores-Quispe, R</DisplayName> <Person id="rp03133" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Velazco-Paredes, Y</DisplayName> <Person id="rp03134" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Escarcina, REP</DisplayName> <Person id="rp03135" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Castanon, CAB</DisplayName> <Person id="rp01013" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>IEEE Computer Society</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Multitexton Histogram descriptor</Keyword> <Keyword>CBIR</Keyword> <Keyword>Human Parasite Eggs</Keyword> <Abstract>The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, for that reason in this study content-based image retrieval is applied to classificate eight different human parasite eggs: Ascarias, Uncinarias, Trichuris, Dyphillobothrium-Pacificum, Taenia-Solium, Fasciola Hepática and Enterobius-Vermicularis, which are into the class of Helminthes, from their microscopic images. This proposed system includes two stages. In first stage, a feature extraction mechanism that is based on multitexton histogram descriptor (MTH) which has been improved and called 'Enhanced MTH'. In second stage, an CBIR system has been implemented in orden to classificate the differents microscopic images to identify their correct species. Finally, simulation result shows overall success rates of 92,16% in the classification.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.4047575 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
