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Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons

Since vectors include direction and magnitude, they have more information than scalars. So, converting the scalar images into the vector field leads achieving much information about the images that have been hidden in the spatial domain. In this paper, the proposed method fuses images after transfor...

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Detalles Bibliográficos
Autores principales: Behrouzi, Yasin, Basiri, Abdolali, Pourgholi, Reza, Kiaei, Ali Akbar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431637/
https://www.ncbi.nlm.nih.gov/pubmed/37585476
http://dx.doi.org/10.1371/journal.pone.0284873
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author Behrouzi, Yasin
Basiri, Abdolali
Pourgholi, Reza
Kiaei, Ali Akbar
author_facet Behrouzi, Yasin
Basiri, Abdolali
Pourgholi, Reza
Kiaei, Ali Akbar
author_sort Behrouzi, Yasin
collection PubMed
description Since vectors include direction and magnitude, they have more information than scalars. So, converting the scalar images into the vector field leads achieving much information about the images that have been hidden in the spatial domain. In this paper, the proposed method fuses images after transforming the scalar field of images to a vector one. To transform the field, it uses Nabla operator. After that, the inverse transform is implemented to reconstruct the fused medical image. To show the performance of the proposed method and to evaluate it, different experiments and statistical comparisons were accomplished. Comparing the experimental results with the previous works, shows the effectiveness of the proposed method.
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spelling pubmed-104316372023-08-17 Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons Behrouzi, Yasin Basiri, Abdolali Pourgholi, Reza Kiaei, Ali Akbar PLoS One Research Article Since vectors include direction and magnitude, they have more information than scalars. So, converting the scalar images into the vector field leads achieving much information about the images that have been hidden in the spatial domain. In this paper, the proposed method fuses images after transforming the scalar field of images to a vector one. To transform the field, it uses Nabla operator. After that, the inverse transform is implemented to reconstruct the fused medical image. To show the performance of the proposed method and to evaluate it, different experiments and statistical comparisons were accomplished. Comparing the experimental results with the previous works, shows the effectiveness of the proposed method. Public Library of Science 2023-08-16 /pmc/articles/PMC10431637/ /pubmed/37585476 http://dx.doi.org/10.1371/journal.pone.0284873 Text en © 2023 Behrouzi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Behrouzi, Yasin
Basiri, Abdolali
Pourgholi, Reza
Kiaei, Ali Akbar
Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons
title Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons
title_full Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons
title_fullStr Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons
title_full_unstemmed Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons
title_short Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons
title_sort fusion of medical images using nabla operator; objective evaluations and step-by-step statistical comparisons
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431637/
https://www.ncbi.nlm.nih.gov/pubmed/37585476
http://dx.doi.org/10.1371/journal.pone.0284873
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