Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis
Bright-field microscopy of sputum samples is still the most widely used Tuberculosis (TB) diagnostic method in countries facing a high incidence of TB. However, this diagnostic method, because it is a visual analysis, requires attention and training of those who perform it, and presents high intra-...
| Autor principal: | Costa, Marly Guimarães Fernandes |
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| Outros Autores: | Pinto, K. M.B., Fujimoto, Luciana Botinelly Mendonça, Ogusku, Maurício Morishi, Costa Filho, Cícero Ferreira Fernandes |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Biomedical Signal Processing and Control
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/16720 |
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oai:repositorio:1-16720 |
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oai:repositorio:1-16720 Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis Costa, Marly Guimarães Fernandes Pinto, K. M.B. Fujimoto, Luciana Botinelly Mendonça Ogusku, Maurício Morishi Costa Filho, Cícero Ferreira Fernandes Bacilli Image Processing Automatic Detection Bright-field Microscopy Depth Of Field Diagnostic Methods Light Fields Multi-focus Multifocus Image Fusion Tuberculosis Image Fusion Bacilli Bacterial Strain Bright-field Microscopy Color Controlled Study Human Image Analysis Image Processing Kruskal Wallis Test Multifocus Image Fusion Preservation Priority Journal Sputum Smear Tuberculosis Variance Wavelet Transformation Bright-field microscopy of sputum samples is still the most widely used Tuberculosis (TB) diagnostic method in countries facing a high incidence of TB. However, this diagnostic method, because it is a visual analysis, requires attention and training of those who perform it, and presents high intra- and inter-observed variation. As a result, many research groups are working on methods of automatic detection of bacilli, aiming to automate this process. The fact that not all of the bacilli present in the examined microscope field are in focus increases the challenge faced by researchers in obtaining automatic methods of detecting bacilli. Fusion images can be a means of overcoming this problem, combining multiple images, from the same field, with diverse focuses into a single focused one. In this paper, we present a multi-focus image fusion method applied to conventional sputum smear microscopy images. The goal is to establish the best method to obtain an extended focus microscopy image where all bacilli present in the field are in focus. The proposed method was compared with three other techniques from the literature by using Variance and Multichannel QAB/F metrics. The proposed method exhibited the best balance of quality evidence (focus and preservation of information). © 2018 2020-06-15T21:35:56Z 2020-06-15T21:35:56Z 2019 Artigo https://repositorio.inpa.gov.br/handle/1/16720 10.1016/j.bspc.2018.12.018 en Volume 49, Pags. 289-297 Restrito Biomedical Signal Processing and Control |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Bacilli Image Processing Automatic Detection Bright-field Microscopy Depth Of Field Diagnostic Methods Light Fields Multi-focus Multifocus Image Fusion Tuberculosis Image Fusion Bacilli Bacterial Strain Bright-field Microscopy Color Controlled Study Human Image Analysis Image Processing Kruskal Wallis Test Multifocus Image Fusion Preservation Priority Journal Sputum Smear Tuberculosis Variance Wavelet Transformation |
| spellingShingle |
Bacilli Image Processing Automatic Detection Bright-field Microscopy Depth Of Field Diagnostic Methods Light Fields Multi-focus Multifocus Image Fusion Tuberculosis Image Fusion Bacilli Bacterial Strain Bright-field Microscopy Color Controlled Study Human Image Analysis Image Processing Kruskal Wallis Test Multifocus Image Fusion Preservation Priority Journal Sputum Smear Tuberculosis Variance Wavelet Transformation Costa, Marly Guimarães Fernandes Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis |
| topic_facet |
Bacilli Image Processing Automatic Detection Bright-field Microscopy Depth Of Field Diagnostic Methods Light Fields Multi-focus Multifocus Image Fusion Tuberculosis Image Fusion Bacilli Bacterial Strain Bright-field Microscopy Color Controlled Study Human Image Analysis Image Processing Kruskal Wallis Test Multifocus Image Fusion Preservation Priority Journal Sputum Smear Tuberculosis Variance Wavelet Transformation |
| description |
Bright-field microscopy of sputum samples is still the most widely used Tuberculosis (TB) diagnostic method in countries facing a high incidence of TB. However, this diagnostic method, because it is a visual analysis, requires attention and training of those who perform it, and presents high intra- and inter-observed variation. As a result, many research groups are working on methods of automatic detection of bacilli, aiming to automate this process. The fact that not all of the bacilli present in the examined microscope field are in focus increases the challenge faced by researchers in obtaining automatic methods of detecting bacilli. Fusion images can be a means of overcoming this problem, combining multiple images, from the same field, with diverse focuses into a single focused one. In this paper, we present a multi-focus image fusion method applied to conventional sputum smear microscopy images. The goal is to establish the best method to obtain an extended focus microscopy image where all bacilli present in the field are in focus. The proposed method was compared with three other techniques from the literature by using Variance and Multichannel QAB/F metrics. The proposed method exhibited the best balance of quality evidence (focus and preservation of information). © 2018 |
| format |
Artigo |
| author |
Costa, Marly Guimarães Fernandes |
| author2 |
Pinto, K. M.B. Fujimoto, Luciana Botinelly Mendonça Ogusku, Maurício Morishi Costa Filho, Cícero Ferreira Fernandes |
| author2Str |
Pinto, K. M.B. Fujimoto, Luciana Botinelly Mendonça Ogusku, Maurício Morishi Costa Filho, Cícero Ferreira Fernandes |
| title |
Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis |
| title_short |
Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis |
| title_full |
Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis |
| title_fullStr |
Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis |
| title_full_unstemmed |
Multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis |
| title_sort |
multi-focus image fusion for bacilli images in conventional sputum smear microscopy for tuberculosis |
| publisher |
Biomedical Signal Processing and Control |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/16720 |
| _version_ |
1787143182390132736 |
| score |
11.755432 |