Estudo e implementação de técnicas para identificação de anuros em imagem

Autores
Queiroz, Angélica Larissa M.; Silva, César Alberto da; Jubileu, Andrea Padovan; Ruiz, Linnyer Beatrys
Año de publicación
2016
Idioma
portugués
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper describes the process used in extracting characteristics of Anurans in pictures and it makes a comparison between J48, Random Tree and Random Forest classification algorithms. Two scenarios for evaluation were defined: in the first one we used two classes to represent objects in the image and in the second scenario five classes were used. The Random Forest algorithm obtained best result in the classification of data in relation to J48 algorithms and Random Tree.
XIV Workshop Computación Gráfica, Imágenes y Visualización (WCGIV).
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Segmentation
Patterns
recognition
frog
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/55787

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spelling Estudo e implementação de técnicas para identificação de anuros em imagemQueiroz, Angélica Larissa M.Silva, César Alberto daJubileu, Andrea PadovanRuiz, Linnyer BeatrysCiencias InformáticasSegmentationPatternsrecognitionfrogThis paper describes the process used in extracting characteristics of Anurans in pictures and it makes a comparison between J48, Random Tree and Random Forest classification algorithms. Two scenarios for evaluation were defined: in the first one we used two classes to represent objects in the image and in the second scenario five classes were used. The Random Forest algorithm obtained best result in the classification of data in relation to J48 algorithms and Random Tree.XIV Workshop Computación Gráfica, Imágenes y Visualización (WCGIV).Red de Universidades con Carreras en Informática (RedUNCI)2016-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf241-250http://sedici.unlp.edu.ar/handle/10915/55787info:eu-repo/semantics/reference/hdl/10915/55718info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)porreponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:58:22Zoai:sedici.unlp.edu.ar:10915/55787Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:58:22.668SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Estudo e implementação de técnicas para identificação de anuros em imagem
title Estudo e implementação de técnicas para identificação de anuros em imagem
spellingShingle Estudo e implementação de técnicas para identificação de anuros em imagem
Queiroz, Angélica Larissa M.
Ciencias Informáticas
Segmentation
Patterns
recognition
frog
title_short Estudo e implementação de técnicas para identificação de anuros em imagem
title_full Estudo e implementação de técnicas para identificação de anuros em imagem
title_fullStr Estudo e implementação de técnicas para identificação de anuros em imagem
title_full_unstemmed Estudo e implementação de técnicas para identificação de anuros em imagem
title_sort Estudo e implementação de técnicas para identificação de anuros em imagem
dc.creator.none.fl_str_mv Queiroz, Angélica Larissa M.
Silva, César Alberto da
Jubileu, Andrea Padovan
Ruiz, Linnyer Beatrys
author Queiroz, Angélica Larissa M.
author_facet Queiroz, Angélica Larissa M.
Silva, César Alberto da
Jubileu, Andrea Padovan
Ruiz, Linnyer Beatrys
author_role author
author2 Silva, César Alberto da
Jubileu, Andrea Padovan
Ruiz, Linnyer Beatrys
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Segmentation
Patterns
recognition
frog
topic Ciencias Informáticas
Segmentation
Patterns
recognition
frog
dc.description.none.fl_txt_mv This paper describes the process used in extracting characteristics of Anurans in pictures and it makes a comparison between J48, Random Tree and Random Forest classification algorithms. Two scenarios for evaluation were defined: in the first one we used two classes to represent objects in the image and in the second scenario five classes were used. The Random Forest algorithm obtained best result in the classification of data in relation to J48 algorithms and Random Tree.
XIV Workshop Computación Gráfica, Imágenes y Visualización (WCGIV).
Red de Universidades con Carreras en Informática (RedUNCI)
description This paper describes the process used in extracting characteristics of Anurans in pictures and it makes a comparison between J48, Random Tree and Random Forest classification algorithms. Two scenarios for evaluation were defined: in the first one we used two classes to represent objects in the image and in the second scenario five classes were used. The Random Forest algorithm obtained best result in the classification of data in relation to J48 algorithms and Random Tree.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
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format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/55787
url http://sedici.unlp.edu.ar/handle/10915/55787
dc.language.none.fl_str_mv por
language por
dc.relation.none.fl_str_mv info:eu-repo/semantics/reference/hdl/10915/55718
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
241-250
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