Software Image J to study soil pore distribution

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...

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Main Authors: Sabrina Passoni, Fernando da Silva Borges, Luiz Fernando Pires, Sérgio da Costa Saab, Miguel Cooper
Format: Article
Language:English
Published: Universidade Federal de Lavras 2014-04-01
Series:Ciência e Agrotecnologia
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200003&lng=en&tlng=en
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spelling doaj-53abbde8e8d64e48a9c2d8d585822dfc2020-11-24T22:14:38ZengUniversidade Federal de LavrasCiência e Agrotecnologia1981-18292014-04-0138212212810.1590/S1413-70542014000200003S1413-70542014000200003Software Image J to study soil pore distributionSabrina Passoni0Fernando da Silva Borges1Luiz Fernando Pires2Sérgio da Costa Saab3Miguel Cooper4Universidade Estadual de Ponta Grossa/UEPGUniversidade Estadual de Ponta Grossa/UEPGUniversidade Estadual de Ponta Grossa/UEPGUniversidade Estadual de Ponta Grossa/UEPGUniversidade de São PauloIn 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200003&lng=en&tlng=enEstrutura do soloanálise de imagensseções finassistema poroso do solodistribuição de tamanho de porosLatossolos
collection DOAJ
language English
format Article
sources DOAJ
author Sabrina Passoni
Fernando da Silva Borges
Luiz Fernando Pires
Sérgio da Costa Saab
Miguel Cooper
spellingShingle Sabrina Passoni
Fernando da Silva Borges
Luiz Fernando Pires
Sérgio da Costa Saab
Miguel Cooper
Software Image J to study soil pore distribution
Ciência e Agrotecnologia
Estrutura do solo
análise de imagens
seções finas
sistema poroso do solo
distribuição de tamanho de poros
Latossolos
author_facet Sabrina Passoni
Fernando da Silva Borges
Luiz Fernando Pires
Sérgio da Costa Saab
Miguel Cooper
author_sort Sabrina Passoni
title Software Image J to study soil pore distribution
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
publisher Universidade Federal de Lavras
series Ciência e Agrotecnologia
issn 1981-1829
publishDate 2014-04-01
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.
topic Estrutura do solo
análise de imagens
seções finas
sistema poroso do solo
distribuição de tamanho de poros
Latossolos
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200003&lng=en&tlng=en
work_keys_str_mv AT sabrinapassoni softwareimagejtostudysoilporedistribution
AT fernandodasilvaborges softwareimagejtostudysoilporedistribution
AT luizfernandopires softwareimagejtostudysoilporedistribution
AT sergiodacostasaab softwareimagejtostudysoilporedistribution
AT miguelcooper softwareimagejtostudysoilporedistribution
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