Implementation of filters for image pre-processing for leaf analyses in plantations
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-540-69387-1_17 http://hdl.handle.net/11449/70493 |
Resumo: | In this work an image pre-processing module has been developed to extract quantitative information from plantation images with various degrees of infestation. Four filters comprise this module: the first one acts on smoothness of the image, the second one removes image background enhancing plants leaves, the third filter removes isolated dots not removed by the previous filter, and the fourth one is used to highlight leaves' edges. At first the filters were tested with MATLAB, for a quick visual feedback of the filters' behavior. Then the filters were implemented in the C programming language. At last, the module as been coded in VHDL for the implementation on a Stratix II family FPGA. Tests were run and the results are shown in this paper. © 2008 Springer-Verlag Berlin Heidelberg. |
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Implementation of filters for image pre-processing for leaf analyses in plantationsDigital image processingHardware description language applicationPrecision agricultureReconfigurable architecturesBASIC (programming language)C (programming language)Computer programming languagesComputer softwareMATLABVisual communicationC programming languagesComputational sciencesHeidelberg (CO)Image pre-processingInternational conferencesQuantitative informationVisual feedbackWave filtersIn this work an image pre-processing module has been developed to extract quantitative information from plantation images with various degrees of infestation. Four filters comprise this module: the first one acts on smoothness of the image, the second one removes image background enhancing plants leaves, the third filter removes isolated dots not removed by the previous filter, and the fourth one is used to highlight leaves' edges. At first the filters were tested with MATLAB, for a quick visual feedback of the filters' behavior. Then the filters were implemented in the C programming language. At last, the module as been coded in VHDL for the implementation on a Stratix II family FPGA. Tests were run and the results are shown in this paper. © 2008 Springer-Verlag Berlin Heidelberg.Instituto de Biociências, Letras e Ciências Exatas Universidade Estadual Paulista, São José do Rio Preto, SPInstituto de Biociências, Letras e Ciências Exatas Universidade Estadual Paulista, São José do Rio Preto, SPUniversidade Estadual Paulista (Unesp)Mertes, Jacqueline Gomes [UNESP]Marranghello, Norian [UNESP]Pereira, Aledir Silveira [UNESP]2014-05-27T11:23:36Z2014-05-27T11:23:36Z2008-07-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject153-162http://dx.doi.org/10.1007/978-3-540-69387-1_17Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5102 LNCS, n. PART 2, p. 153-162, 2008.0302-97431611-3349http://hdl.handle.net/11449/7049310.1007/978-3-540-69387-1_17WOS:0002569338000172-s2.0-47749145420209862326289271996672950765499240000-0003-1086-3312Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)0,295info:eu-repo/semantics/openAccess2021-10-23T21:44:10Zoai:repositorio.unesp.br:11449/70493Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:49:30.752986Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Implementation of filters for image pre-processing for leaf analyses in plantations |
title |
Implementation of filters for image pre-processing for leaf analyses in plantations |
spellingShingle |
Implementation of filters for image pre-processing for leaf analyses in plantations Mertes, Jacqueline Gomes [UNESP] Digital image processing Hardware description language application Precision agriculture Reconfigurable architectures BASIC (programming language) C (programming language) Computer programming languages Computer software MATLAB Visual communication C programming languages Computational sciences Heidelberg (CO) Image pre-processing International conferences Quantitative information Visual feedback Wave filters |
title_short |
Implementation of filters for image pre-processing for leaf analyses in plantations |
title_full |
Implementation of filters for image pre-processing for leaf analyses in plantations |
title_fullStr |
Implementation of filters for image pre-processing for leaf analyses in plantations |
title_full_unstemmed |
Implementation of filters for image pre-processing for leaf analyses in plantations |
title_sort |
Implementation of filters for image pre-processing for leaf analyses in plantations |
author |
Mertes, Jacqueline Gomes [UNESP] |
author_facet |
Mertes, Jacqueline Gomes [UNESP] Marranghello, Norian [UNESP] Pereira, Aledir Silveira [UNESP] |
author_role |
author |
author2 |
Marranghello, Norian [UNESP] Pereira, Aledir Silveira [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Mertes, Jacqueline Gomes [UNESP] Marranghello, Norian [UNESP] Pereira, Aledir Silveira [UNESP] |
dc.subject.por.fl_str_mv |
Digital image processing Hardware description language application Precision agriculture Reconfigurable architectures BASIC (programming language) C (programming language) Computer programming languages Computer software MATLAB Visual communication C programming languages Computational sciences Heidelberg (CO) Image pre-processing International conferences Quantitative information Visual feedback Wave filters |
topic |
Digital image processing Hardware description language application Precision agriculture Reconfigurable architectures BASIC (programming language) C (programming language) Computer programming languages Computer software MATLAB Visual communication C programming languages Computational sciences Heidelberg (CO) Image pre-processing International conferences Quantitative information Visual feedback Wave filters |
description |
In this work an image pre-processing module has been developed to extract quantitative information from plantation images with various degrees of infestation. Four filters comprise this module: the first one acts on smoothness of the image, the second one removes image background enhancing plants leaves, the third filter removes isolated dots not removed by the previous filter, and the fourth one is used to highlight leaves' edges. At first the filters were tested with MATLAB, for a quick visual feedback of the filters' behavior. Then the filters were implemented in the C programming language. At last, the module as been coded in VHDL for the implementation on a Stratix II family FPGA. Tests were run and the results are shown in this paper. © 2008 Springer-Verlag Berlin Heidelberg. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-07-28 2014-05-27T11:23:36Z 2014-05-27T11:23:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-540-69387-1_17 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5102 LNCS, n. PART 2, p. 153-162, 2008. 0302-9743 1611-3349 http://hdl.handle.net/11449/70493 10.1007/978-3-540-69387-1_17 WOS:000256933800017 2-s2.0-47749145420 2098623262892719 9667295076549924 0000-0003-1086-3312 |
url |
http://dx.doi.org/10.1007/978-3-540-69387-1_17 http://hdl.handle.net/11449/70493 |
identifier_str_mv |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5102 LNCS, n. PART 2, p. 153-162, 2008. 0302-9743 1611-3349 10.1007/978-3-540-69387-1_17 WOS:000256933800017 2-s2.0-47749145420 2098623262892719 9667295076549924 0000-0003-1086-3312 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 0,295 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
153-162 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129124498145280 |