A fuzzy inference method for image fusion/refinement of CT images from incomplete data

The quality of computed-tomography (CT) images deteriorates when images are reconstructed from incomplete data. This work makes use of the a priori knowledge inherent in the membership functions and the logical rules of a fuzzy inference system (FIS) to compensate for the missing data. It is shown t...

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Detalles Bibliográficos
Autores principales: Malik, Varinder, Hussein, Esam M.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082559/
https://www.ncbi.nlm.nih.gov/pubmed/33981895
http://dx.doi.org/10.1016/j.heliyon.2021.e06839

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082559/
https://www.ncbi.nlm.nih.gov/pubmed/33981895
http://dx.doi.org/10.1016/j.heliyon.2021.e06839

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