Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UERJ |
Texto Completo: | http://www.bdtd.uerj.br/handle/1/7698 |
Resumo: | The discrimination of phases that are practically undistinguishable to the optical microscope of reflected light or to the scanning electron microscope (SEM) is one of the classical problems in ore microscopy. With the aim of solving this problem it has been recently used the technique of co-located microscopy that consists in the junction of two microscopy modalities, optical microscopy and scanning electron microscope. The aim of the technique is to provide an image of the multimodal microscopy, becoming possible the identification, in mineral samples, of phases that wouldn t be distinguished by the use of one modality only, overcoming the individual limitations of the two systems. The method of register available so far in literature to the fusion of optical microscopy and scanning electron microscope images is a hard-working procedure and extremely dependent on the operator interaction, once it involves the system calibration with a standard mesh in each routine of images acquisition. Due to this reason the current technique is not practical. This piece of work proposes a methodology in order to automate the process of images register in optical microscopy and scanning electron microscopy in a way to improve and simplify the co-located microscopy technique. The proposed method may be divided in two procedures: acquisition of transformation and register of the images with the use of this transformation. The acquisition of transformation involves, first, the pre-processing of pairs in a way of performing a crude register among the images of each pair. Then, homologous points are achieved in the optical and in SEM images. In order to this, it has been used two methods, the first one was developed based in algorithm SIFT and the second was defined from the sweeping of the highest of coefficient correlation. In the following step it is calculated the transformation. Two different approaches were used: the local weighted mean (LWM) and the weighted least squares with orthogonal polynomials (MQPPO). The LWM receives as entrance what we call pseudo-counterparts, points that are distributed in a regular way in the reference image, and that reveal, in the image to be registered, the relative local dislocation among the images. Those pseudo-counterparts may be obtained by SIFT or by the method of correlation coefficient. On the other side, the MQPPO receives a group of points with natural distribution. The analysis of the images registration obtained employed as a metric the value of correlation among the obtained images. It was noticed that with the use of the proposed variants SIFT-LWM and SIF-Correlation were obtained slightly higher results than the ones from the method with standard mesh and LWM. Thus, the proposal, besides reducing drastically the operator intervention, still enabled more exact results. On the other side, the method based in the transformation provided by the minimum square pondered with orthogonal polynomial showed lower results than to the ones produced by the method that used standard mesh |
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Mota, Guilherme Lucio Abelhahttp://lattes.cnpq.br/4657870977403568Gomes, Otávio da Fonseca Martinshttp://lattes.cnpq.br/6645772503347843Mello, Maria Herminia de Paula Leitehttp://lattes.cnpq.br/4468191018994448Paciornik, Sidneihttp://lattes.cnpq.br/4692086634018379Costa, Gilson Alexandre Ostwald Pedro dahttp://lattes.cnpq.br/1321820478036793http://lattes.cnpq.br/4504024306093053Lima, Marcos Paulo Galdino de2021-01-05T17:54:16Z2014-07-242014-05-07LIMA, Marcos Paulo Galdino de. Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura. 2014. 76 f. Dissertação (Mestrado em Modelagem matemático-estatístico-computacional) - Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2014.http://www.bdtd.uerj.br/handle/1/7698The discrimination of phases that are practically undistinguishable to the optical microscope of reflected light or to the scanning electron microscope (SEM) is one of the classical problems in ore microscopy. With the aim of solving this problem it has been recently used the technique of co-located microscopy that consists in the junction of two microscopy modalities, optical microscopy and scanning electron microscope. The aim of the technique is to provide an image of the multimodal microscopy, becoming possible the identification, in mineral samples, of phases that wouldn t be distinguished by the use of one modality only, overcoming the individual limitations of the two systems. The method of register available so far in literature to the fusion of optical microscopy and scanning electron microscope images is a hard-working procedure and extremely dependent on the operator interaction, once it involves the system calibration with a standard mesh in each routine of images acquisition. Due to this reason the current technique is not practical. This piece of work proposes a methodology in order to automate the process of images register in optical microscopy and scanning electron microscopy in a way to improve and simplify the co-located microscopy technique. The proposed method may be divided in two procedures: acquisition of transformation and register of the images with the use of this transformation. The acquisition of transformation involves, first, the pre-processing of pairs in a way of performing a crude register among the images of each pair. Then, homologous points are achieved in the optical and in SEM images. In order to this, it has been used two methods, the first one was developed based in algorithm SIFT and the second was defined from the sweeping of the highest of coefficient correlation. In the following step it is calculated the transformation. Two different approaches were used: the local weighted mean (LWM) and the weighted least squares with orthogonal polynomials (MQPPO). The LWM receives as entrance what we call pseudo-counterparts, points that are distributed in a regular way in the reference image, and that reveal, in the image to be registered, the relative local dislocation among the images. Those pseudo-counterparts may be obtained by SIFT or by the method of correlation coefficient. On the other side, the MQPPO receives a group of points with natural distribution. The analysis of the images registration obtained employed as a metric the value of correlation among the obtained images. It was noticed that with the use of the proposed variants SIFT-LWM and SIF-Correlation were obtained slightly higher results than the ones from the method with standard mesh and LWM. Thus, the proposal, besides reducing drastically the operator intervention, still enabled more exact results. On the other side, the method based in the transformation provided by the minimum square pondered with orthogonal polynomial showed lower results than to the ones produced by the method that used standard meshA discriminação de fases que são praticamente indistinguíveis ao microscópio ótico de luz refletida ou ao microscópio eletrônico de varredura (MEV) é um dos problemas clássicos da microscopia de minérios. Com o objetivo de resolver este problema vem sendo recentemente empregada a técnica de microscopia colocalizada, que consiste na junção de duas modalidades de microscopia, microscopia ótica e microscopia eletrônica de varredura. O objetivo da técnica é fornecer uma imagem de microscopia multimodal, tornando possível a identificação, em amostras de minerais, de fases que não seriam distinguíveis com o uso de uma única modalidade, superando assim as limitações individuais dos dois sistemas. O método de registro até então disponível na literatura para a fusão das imagens de microscopia ótica e de microscopia eletrônica de varredura é um procedimento trabalhoso e extremamente dependente da interação do operador, uma vez que envolve a calibração do sistema com uma malha padrão a cada rotina de aquisição de imagens. Por esse motivo a técnica existente não é prática. Este trabalho propõe uma metodologia para automatizar o processo de registro de imagens de microscopia ótica e de microscopia eletrônica de varredura de maneira a aperfeiçoar e simplificar o uso da técnica de microscopia colocalizada. O método proposto pode ser subdividido em dois procedimentos: obtenção da transformação e registro das imagens com uso desta transformação. A obtenção da transformação envolve, primeiramente, o pré-processamento dos pares de forma a executar um registro grosseiro entre as imagens de cada par. Em seguida, são obtidos pontos homólogos, nas imagens óticas e de MEV. Para tal, foram utilizados dois métodos, o primeiro desenvolvido com base no algoritmo SIFT e o segundo definido a partir da varredura pelo máximo valor do coeficiente de correlação. Na etapa seguinte é calculada a transformação. Foram empregadas duas abordagens distintas: a média ponderada local (LWM) e os mínimos quadrados ponderados com polinômios ortogonais (MQPPO). O LWM recebe como entradas os chamados pseudo-homólogos, pontos que são forçadamente distribuídos de forma regular na imagem de referência, e que revelam, na imagem a ser registrada, os deslocamentos locais relativos entre as imagens. Tais pseudo-homólogos podem ser obtidos tanto pelo SIFT como pelo método do coeficiente de correlação. Por outro lado, o MQPPO recebe um conjunto de pontos com a distribuição natural. A análise dos registro de imagens obtidos empregou como métrica o valor da correlação entre as imagens obtidas. Observou-se que com o uso das variantes propostas SIFT-LWM e SIFT-Correlação foram obtidos resultados ligeiramente superiores aos do método com a malha padrão e LWM. Assim, a proposta, além de reduzir drasticamente a intervenção do operador, ainda possibilitou resultados mais precisos. Por outro lado, o método baseado na transformação fornecida pelos mínimos quadrados ponderados com polinômios ortogonais mostrou resultados inferiores aos produzidos pelo método que faz uso da malha padrão.Submitted by Boris Flegr (boris@uerj.br) on 2021-01-05T17:54:16Z No. of bitstreams: 1 Marcos Paulo Galdino_completa.pdf: 7316511 bytes, checksum: 89416a457e2929021d401d9219cc0b88 (MD5)Made available in DSpace on 2021-01-05T17:54:16Z (GMT). No. of bitstreams: 1 Marcos Paulo Galdino_completa.pdf: 7316511 bytes, checksum: 89416a457e2929021d401d9219cc0b88 (MD5) Previous issue date: 2014-05-07Fundação de Amparo à Pesquisa do Estado do Rio de Janeiroapplication/pdfporUniversidade do Estado do Rio de JaneiroPrograma de Pós-Graduação em Ciências ComputacionaisUERJBRCentro de Tecnologia e Ciências::Instituto de Matemática e EstatísticaCharacterizationIron ore. Copper OreMultimodal MicroscopyImage Analysis. Co-located MicroscopyCaracterizaçãoMinério de FerroMinério de CobreMicroscopia MultimodalAnálise de ImagensMicroscopia ColocalizadaProcessamento de imagensMicroscopia eletrônica de varreduraVisão por computadorMinériosCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAOMicroscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varreduraMultimodal microscopy practice: automatic image registration for optical microscopy and scanning electron microscopyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UERJinstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJORIGINALMarcos Paulo Galdino_completa.pdfapplication/pdf7316511http://www.bdtd.uerj.br/bitstream/1/7698/1/Marcos+Paulo+Galdino_completa.pdf89416a457e2929021d401d9219cc0b88MD511/76982024-02-27 14:34:54.152oai:www.bdtd.uerj.br:1/7698Biblioteca Digital de Teses e Dissertaçõeshttp://www.bdtd.uerj.br/PUBhttps://www.bdtd.uerj.br:8443/oai/requestbdtd.suporte@uerj.bropendoar:29032024-02-27T17:34:54Biblioteca Digital de Teses e Dissertações da UERJ - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.por.fl_str_mv |
Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura |
dc.title.alternative.eng.fl_str_mv |
Multimodal microscopy practice: automatic image registration for optical microscopy and scanning electron microscopy |
title |
Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura |
spellingShingle |
Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura Lima, Marcos Paulo Galdino de Characterization Iron ore. Copper Ore Multimodal Microscopy Image Analysis. Co-located Microscopy Caracterização Minério de Ferro Minério de Cobre Microscopia Multimodal Análise de Imagens Microscopia Colocalizada Processamento de imagens Microscopia eletrônica de varredura Visão por computador Minérios CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO |
title_short |
Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura |
title_full |
Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura |
title_fullStr |
Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura |
title_full_unstemmed |
Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura |
title_sort |
Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura |
author |
Lima, Marcos Paulo Galdino de |
author_facet |
Lima, Marcos Paulo Galdino de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Mota, Guilherme Lucio Abelha |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/4657870977403568 |
dc.contributor.advisor-co1.fl_str_mv |
Gomes, Otávio da Fonseca Martins |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/6645772503347843 |
dc.contributor.referee1.fl_str_mv |
Mello, Maria Herminia de Paula Leite |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/4468191018994448 |
dc.contributor.referee2.fl_str_mv |
Paciornik, Sidnei |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/4692086634018379 |
dc.contributor.referee3.fl_str_mv |
Costa, Gilson Alexandre Ostwald Pedro da |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/1321820478036793 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4504024306093053 |
dc.contributor.author.fl_str_mv |
Lima, Marcos Paulo Galdino de |
contributor_str_mv |
Mota, Guilherme Lucio Abelha Gomes, Otávio da Fonseca Martins Mello, Maria Herminia de Paula Leite Paciornik, Sidnei Costa, Gilson Alexandre Ostwald Pedro da |
dc.subject.eng.fl_str_mv |
Characterization Iron ore. Copper Ore Multimodal Microscopy Image Analysis. Co-located Microscopy |
topic |
Characterization Iron ore. Copper Ore Multimodal Microscopy Image Analysis. Co-located Microscopy Caracterização Minério de Ferro Minério de Cobre Microscopia Multimodal Análise de Imagens Microscopia Colocalizada Processamento de imagens Microscopia eletrônica de varredura Visão por computador Minérios CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO |
dc.subject.por.fl_str_mv |
Caracterização Minério de Ferro Minério de Cobre Microscopia Multimodal Análise de Imagens Microscopia Colocalizada Processamento de imagens Microscopia eletrônica de varredura Visão por computador Minérios |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO |
description |
The discrimination of phases that are practically undistinguishable to the optical microscope of reflected light or to the scanning electron microscope (SEM) is one of the classical problems in ore microscopy. With the aim of solving this problem it has been recently used the technique of co-located microscopy that consists in the junction of two microscopy modalities, optical microscopy and scanning electron microscope. The aim of the technique is to provide an image of the multimodal microscopy, becoming possible the identification, in mineral samples, of phases that wouldn t be distinguished by the use of one modality only, overcoming the individual limitations of the two systems. The method of register available so far in literature to the fusion of optical microscopy and scanning electron microscope images is a hard-working procedure and extremely dependent on the operator interaction, once it involves the system calibration with a standard mesh in each routine of images acquisition. Due to this reason the current technique is not practical. This piece of work proposes a methodology in order to automate the process of images register in optical microscopy and scanning electron microscopy in a way to improve and simplify the co-located microscopy technique. The proposed method may be divided in two procedures: acquisition of transformation and register of the images with the use of this transformation. The acquisition of transformation involves, first, the pre-processing of pairs in a way of performing a crude register among the images of each pair. Then, homologous points are achieved in the optical and in SEM images. In order to this, it has been used two methods, the first one was developed based in algorithm SIFT and the second was defined from the sweeping of the highest of coefficient correlation. In the following step it is calculated the transformation. Two different approaches were used: the local weighted mean (LWM) and the weighted least squares with orthogonal polynomials (MQPPO). The LWM receives as entrance what we call pseudo-counterparts, points that are distributed in a regular way in the reference image, and that reveal, in the image to be registered, the relative local dislocation among the images. Those pseudo-counterparts may be obtained by SIFT or by the method of correlation coefficient. On the other side, the MQPPO receives a group of points with natural distribution. The analysis of the images registration obtained employed as a metric the value of correlation among the obtained images. It was noticed that with the use of the proposed variants SIFT-LWM and SIF-Correlation were obtained slightly higher results than the ones from the method with standard mesh and LWM. Thus, the proposal, besides reducing drastically the operator intervention, still enabled more exact results. On the other side, the method based in the transformation provided by the minimum square pondered with orthogonal polynomial showed lower results than to the ones produced by the method that used standard mesh |
publishDate |
2014 |
dc.date.available.fl_str_mv |
2014-07-24 |
dc.date.issued.fl_str_mv |
2014-05-07 |
dc.date.accessioned.fl_str_mv |
2021-01-05T17:54:16Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
LIMA, Marcos Paulo Galdino de. Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura. 2014. 76 f. Dissertação (Mestrado em Modelagem matemático-estatístico-computacional) - Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2014. |
dc.identifier.uri.fl_str_mv |
http://www.bdtd.uerj.br/handle/1/7698 |
identifier_str_mv |
LIMA, Marcos Paulo Galdino de. Microscopia multimodal prática: registro automático de imagens de microscopia ótica e de microscopia eletrônica de varredura. 2014. 76 f. Dissertação (Mestrado em Modelagem matemático-estatístico-computacional) - Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2014. |
url |
http://www.bdtd.uerj.br/handle/1/7698 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Universidade do Estado do Rio de Janeiro |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Ciências Computacionais |
dc.publisher.initials.fl_str_mv |
UERJ |
dc.publisher.country.fl_str_mv |
BR |
dc.publisher.department.fl_str_mv |
Centro de Tecnologia e Ciências::Instituto de Matemática e Estatística |
publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
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Biblioteca Digital de Teses e Dissertações da UERJ |
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