Software Image J to study soil pore distribution
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência e Agrotecnologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200003 |
Resumo: | In the soil science, a direct method that allows the study of soil pore distribution is the bi-dimensional (2D) digital image analysis. Such technique provides quantitative results of soil pore shape, number and size. The use of specific softwares for the treatment and processing of images allows a fast and efficient method to quantify the soil porous system. However, due to the high cost of commercial softwares, public ones can be an interesting alternative for soil structure analysis. The objective of this work was to evaluate the quality of data provided by the Image J software (public domain) used to characterize the voids of two soils, characterized as Geric Ferralsol and Rhodic Ferralsol, from the southeast region of Brazil. The pore distribution analysis technique from impregnated soil blocks was utilized for this purpose. The 2D image acquisition was carried out by using a CCD camera coupled to a conventional optical microscope. After acquisition and treatment of images, they were processed and analyzed by the software Noesis Visilog 5.4® (chosen as the reference program) and ImageJ. The parameters chosen to characterize the soil voids were: shape, number and pore size distribution. For both soils, the results obtained for the image total porosity (%), the total number of pores and the pore size distribution showed that the Image J is a suitable software to be applied in the characterization of the soil sample voids impregnated with resin. |
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Software Image J to study soil pore distributionSoil structureimage analysisthin sectionsoil porous systemsoil pore size distributionFerralsolsIn the soil science, a direct method that allows the study of soil pore distribution is the bi-dimensional (2D) digital image analysis. Such technique provides quantitative results of soil pore shape, number and size. The use of specific softwares for the treatment and processing of images allows a fast and efficient method to quantify the soil porous system. However, due to the high cost of commercial softwares, public ones can be an interesting alternative for soil structure analysis. The objective of this work was to evaluate the quality of data provided by the Image J software (public domain) used to characterize the voids of two soils, characterized as Geric Ferralsol and Rhodic Ferralsol, from the southeast region of Brazil. The pore distribution analysis technique from impregnated soil blocks was utilized for this purpose. The 2D image acquisition was carried out by using a CCD camera coupled to a conventional optical microscope. After acquisition and treatment of images, they were processed and analyzed by the software Noesis Visilog 5.4® (chosen as the reference program) and ImageJ. The parameters chosen to characterize the soil voids were: shape, number and pore size distribution. For both soils, the results obtained for the image total porosity (%), the total number of pores and the pore size distribution showed that the Image J is a suitable software to be applied in the characterization of the soil sample voids impregnated with resin.Editora da UFLA2014-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200003Ciência e Agrotecnologia v.38 n.2 2014reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/S1413-70542014000200003info:eu-repo/semantics/openAccessPassoni,SabrinaBorges,Fernando da SilvaPires,Luiz FernandoSaab,Sérgio da CostaCooper,Migueleng2014-05-30T00:00:00Zoai:scielo:S1413-70542014000200003Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:19.534521Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Software Image J to study soil pore distribution |
title |
Software Image J to study soil pore distribution |
spellingShingle |
Software Image J to study soil pore distribution Passoni,Sabrina Soil structure image analysis thin section soil porous system soil pore size distribution Ferralsols |
title_short |
Software Image J to study soil pore distribution |
title_full |
Software Image J to study soil pore distribution |
title_fullStr |
Software Image J to study soil pore distribution |
title_full_unstemmed |
Software Image J to study soil pore distribution |
title_sort |
Software Image J to study soil pore distribution |
author |
Passoni,Sabrina |
author_facet |
Passoni,Sabrina Borges,Fernando da Silva Pires,Luiz Fernando Saab,Sérgio da Costa Cooper,Miguel |
author_role |
author |
author2 |
Borges,Fernando da Silva Pires,Luiz Fernando Saab,Sérgio da Costa Cooper,Miguel |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Passoni,Sabrina Borges,Fernando da Silva Pires,Luiz Fernando Saab,Sérgio da Costa Cooper,Miguel |
dc.subject.por.fl_str_mv |
Soil structure image analysis thin section soil porous system soil pore size distribution Ferralsols |
topic |
Soil structure image analysis thin section soil porous system soil pore size distribution Ferralsols |
description |
In the soil science, a direct method that allows the study of soil pore distribution is the bi-dimensional (2D) digital image analysis. Such technique provides quantitative results of soil pore shape, number and size. The use of specific softwares for the treatment and processing of images allows a fast and efficient method to quantify the soil porous system. However, due to the high cost of commercial softwares, public ones can be an interesting alternative for soil structure analysis. The objective of this work was to evaluate the quality of data provided by the Image J software (public domain) used to characterize the voids of two soils, characterized as Geric Ferralsol and Rhodic Ferralsol, from the southeast region of Brazil. The pore distribution analysis technique from impregnated soil blocks was utilized for this purpose. The 2D image acquisition was carried out by using a CCD camera coupled to a conventional optical microscope. After acquisition and treatment of images, they were processed and analyzed by the software Noesis Visilog 5.4® (chosen as the reference program) and ImageJ. The parameters chosen to characterize the soil voids were: shape, number and pore size distribution. For both soils, the results obtained for the image total porosity (%), the total number of pores and the pore size distribution showed that the Image J is a suitable software to be applied in the characterization of the soil sample voids impregnated with resin. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200003 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1413-70542014000200003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
Ciência e Agrotecnologia v.38 n.2 2014 reponame:Ciência e Agrotecnologia (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Ciência e Agrotecnologia (Online) |
collection |
Ciência e Agrotecnologia (Online) |
repository.name.fl_str_mv |
Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
||renpaiva@dbi.ufla.br|| editora@editora.ufla.br |
_version_ |
1799874969270747136 |