Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model
Introduction: Image compression is a great instance for operations in the medical domain that leads to better understanding and implementations of treatment, especially in radiology. Discrete wavelet transform (dwt) is used for better and faster implementation of this kind of image fusion.Methodolog...
- Autores:
-
Prakash Yadav, Satya
Yadav, Sachin
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- eng
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/9446
- Acceso en línea:
- https://revistas.ucc.edu.co/index.php/in/article/view/2236
https://hdl.handle.net/20.500.12494/9446
- Palabra clave:
- Rights
- openAccess
- License
- Copyright (c) 2018 Journal of Engineering and Education
| id |
COOPER2_7968ad570d3b1f5c304773eabb029a85 |
|---|---|
| oai_identifier_str |
oai:repository.ucc.edu.co:20.500.12494/9446 |
| network_acronym_str |
COOPER2 |
| network_name_str |
Repositorio UCC |
| repository_id_str |
|
| dc.title.eng.fl_str_mv |
Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model |
| dc.title.spa.fl_str_mv |
Fusión de imágenes médicas en el ámbito de la transformada de ondícula: modelo matemático discreto |
| dc.title.por.fl_str_mv |
Fusão de imagens médicas no âmbito da transformada de wavelet: modelo matemático discreto |
| title |
Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model |
| spellingShingle |
Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model |
| title_short |
Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model |
| title_full |
Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model |
| title_fullStr |
Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model |
| title_full_unstemmed |
Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model |
| title_sort |
Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model |
| dc.creator.fl_str_mv |
Prakash Yadav, Satya Yadav, Sachin |
| dc.contributor.author.none.fl_str_mv |
Prakash Yadav, Satya Yadav, Sachin |
| description |
Introduction: Image compression is a great instance for operations in the medical domain that leads to better understanding and implementations of treatment, especially in radiology. Discrete wavelet transform (dwt) is used for better and faster implementation of this kind of image fusion.Methodology: To access the great feature of mathematical implementations in the medical domain we use wavelet transform with dwt for image fusion and extraction of features through images.Results: The predicted or expected outcome must help better understanding of any kind of image resolutions and try to compress or fuse the images to decrease the size but not the pixel quality of the image.Conclusions: Implementation of the dwt mathematical approach will help researchers or practitioners in the medical domain to attain better implementation of the image fusion and data transmission, which leads to better treatment procedures and also decreases the data transfer rate as the size will be decreased and data loss will also be manageable.Originality: The idea of using images may decrease the size of the image, which may be useful for reducing bandwidth while transmitting the images. But the thing here is to maintain the same quality while transmitting data and also while compressing the images.Limitations: As this is a new implementation, if we have committed any mistakes in image compression of medical-related information, this may lead to treatment faults for the patient. Image quality must not be reduced with this implementation. |
| publishDate |
2018 |
| dc.date.accessioned.none.fl_str_mv |
2019-05-14T21:07:54Z |
| dc.date.available.none.fl_str_mv |
2019-05-14T21:07:54Z |
| dc.date.none.fl_str_mv |
2018-05-01 |
| dc.type.none.fl_str_mv |
Artículo |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.redcol.none.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
| dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.ucc.edu.co/index.php/in/article/view/2236 10.16925/.v14i0.2236 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12494/9446 |
| url |
https://revistas.ucc.edu.co/index.php/in/article/view/2236 https://hdl.handle.net/20.500.12494/9446 |
| identifier_str_mv |
10.16925/.v14i0.2236 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://revistas.ucc.edu.co/index.php/in/article/view/2236/2359 https://revistas.ucc.edu.co/index.php/in/article/view/2236/2588 |
| dc.rights.none.fl_str_mv |
Copyright (c) 2018 Journal of Engineering and Education http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
Copyright (c) 2018 Journal of Engineering and Education http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.eng.fl_str_mv |
Universidad Cooperativa de Colombia |
| dc.source.eng.fl_str_mv |
Ingeniería Solidaria; Vol 14 No 25 (2018): special issue; 1-11 |
| dc.source.spa.fl_str_mv |
Ingeniería Solidaria; Vol. 14 Núm. 25 (2018): special issue; 1-11 |
| dc.source.por.fl_str_mv |
Ingeniería Solidaria; v. 14 n. 25 (2018): special issue; 1-11 |
| dc.source.none.fl_str_mv |
2357-6014 1900-3102 |
| institution |
Universidad Cooperativa de Colombia |
| repository.name.fl_str_mv |
Repositorio Institucional Universidad Cooperativa de Colombia |
| repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
| _version_ |
1808789301730738176 |
| spelling |
Prakash Yadav, SatyaYadav, Sachin2018-05-012019-05-14T21:07:54Z2019-05-14T21:07:54Zhttps://revistas.ucc.edu.co/index.php/in/article/view/223610.16925/.v14i0.2236https://hdl.handle.net/20.500.12494/9446Introduction: Image compression is a great instance for operations in the medical domain that leads to better understanding and implementations of treatment, especially in radiology. Discrete wavelet transform (dwt) is used for better and faster implementation of this kind of image fusion.Methodology: To access the great feature of mathematical implementations in the medical domain we use wavelet transform with dwt for image fusion and extraction of features through images.Results: The predicted or expected outcome must help better understanding of any kind of image resolutions and try to compress or fuse the images to decrease the size but not the pixel quality of the image.Conclusions: Implementation of the dwt mathematical approach will help researchers or practitioners in the medical domain to attain better implementation of the image fusion and data transmission, which leads to better treatment procedures and also decreases the data transfer rate as the size will be decreased and data loss will also be manageable.Originality: The idea of using images may decrease the size of the image, which may be useful for reducing bandwidth while transmitting the images. But the thing here is to maintain the same quality while transmitting data and also while compressing the images.Limitations: As this is a new implementation, if we have committed any mistakes in image compression of medical-related information, this may lead to treatment faults for the patient. Image quality must not be reduced with this implementation.Introducción: la compresión de imágenes es una gran instancia para las operaciones en el ámbito médico que conduce a una mejor comprensión e implementación del tratamiento, especialmente en radiología. La transformada de ondícula discreta (dwt) se utiliza para lograr una mejor y más rápida implementación de este tipo de fusión de imágenes.Metodología: para aprovechar los grandes beneficios de las implementaciones matemáticas en el ámbito médico, empleamos la transformada de ondícula con dwt para la fusión de imágenes y extracción de características mediante imágenes. Resultados: el resultado previsto o esperado es ser capaces de comprender mejor cualquier tipo de resolución de imagen e intentar comprimir o fusionar las imágenes para reducir su tamaño, pero no la calidad de píxel de la imagen.Conclusiones: la implementación del enfoque matemático dwt ayudará a investigadores o profesionales en el campo médico a lograr una mejor implementación de la fusión de imágenes y transmisión de datos, lo que conduce a mejores procedimientos en el tratamiento y también a disminuir el índice de transferencia de datos debido a la reducción en el tamaño de las imágenes; la pérdida de datos también se vuelve más manejable.Originalidad: la idea de fusionar las imágenes puede disminuir el tamaño de las mismas, lo cual sería útil para reducir el ancho de banda necesario para su transmisión. Lo que resulta crucial es poder mantener la misma calidad mientras se transmiten los datos y mientras se comprimen las imágenes.Limitaciones: como se trata de una nueva implementación, si se ha cometido algún error en la compresión de la imagen de información médica, esto puede conducir a fallas en el tratamiento de un paciente. La calidad de la imagen no debe reducirse con esta implementación.Introdução: a compreensão de imagens é uma grande instância para as operações no âmbito médico e conduz a uma melhor compreensão e implantação do tratamento, especialmente em radiologia. A transformada discreta de wavelet (dwt) é utilizada para obter uma implantação melhor e mais ágil desse tipo de fusão de imagens.Métodos: para aproveitar os grandes benefícios das implantações matemáticas no âmbito médico, empregamos a transformada discreta de wavelet (dwt) para a fusão de imagens e obtenção de características a partir de imagens.Resultados: o resultado previsto ou esperado é que seja possível compreender melhor qualquer tipo de resolução de imagem e tentar comprimir ou fusionar as imagens para reduzir o tamanho delas, mas não a qualidade de pixel da imagem.Conclusões: a implantação do enfoque matemático dwt ajudará os pesquisadores ou profissionais no campo médico a obterem uma melhor implantação da fusão de imagens e da transmissão de dados, o que conduz a melhores procedimentos de tratamento e também a diminuir o índice de transferência de dados que, devido à redução no tamanho das imagens e à perda de dados, também se torna mais maleável.Originalidade: a ideia de juntar as imagens pode diminuir o tamanho delas, o que pode ser útil para reduzir a largura da banda que é necessária para a sua transmissão. O que resulta crucial é poder manter a mesma qualidade enquanto os dados são transmitidos e as imagens são comprimidas.Limitações: como se trata de uma nova implantação, se for cometido algum erro na compreensão da imagem de informação médica, isso poderá levar a falhas no tratamento de um paciente. A qualidade da imagem não deve ser reduzida com essa implantação.application/pdfengUniversidad Cooperativa de Colombiahttps://revistas.ucc.edu.co/index.php/in/article/view/2236/2359https://revistas.ucc.edu.co/index.php/in/article/view/2236/2588Copyright (c) 2018 Journal of Engineering and Educationhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ingeniería Solidaria; Vol 14 No 25 (2018): special issue; 1-11Ingeniería Solidaria; Vol. 14 Núm. 25 (2018): special issue; 1-11Ingeniería Solidaria; v. 14 n. 25 (2018): special issue; 1-112357-60141900-3102Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical ModelFusión de imágenes médicas en el ámbito de la transformada de ondícula: modelo matemático discretoFusão de imagens médicas no âmbito da transformada de wavelet: modelo matemático discretoArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionPublication20.500.12494/9446oai:repository.ucc.edu.co:20.500.12494/94462024-07-16 13:31:47.744metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com |