SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images-Part II.

Autor: Rodríguez R; Institute of Cybernetics, Mathematics, and Physics of Cuba (ICIMAF), Havana, Cuba., Mondeja BA; Center for Advanced Studies of Cuba (CEA), Havana, Cuba., Valdes O; Institute of Tropical Medicine ¨Pedro Kourí ¨ (IPK), Havana, Cuba., Resik S; Institute of Tropical Medicine ¨Pedro Kourí ¨ (IPK), Havana, Cuba., Vizcaino A; Center for Advanced Studies of Cuba (CEA), Havana, Cuba., Acosta EF; Center for Advanced Studies of Cuba (CEA), Havana, Cuba., González Y; Center for Advanced Studies of Cuba (CEA), Havana, Cuba., Kourí V; Institute of Tropical Medicine ¨Pedro Kourí ¨ (IPK), Havana, Cuba., Díaz A; Center for Advanced Studies of Cuba (CEA), Havana, Cuba., Guzmán MG; Institute of Tropical Medicine ¨Pedro Kourí ¨ (IPK), Havana, Cuba.
Jazyk: angličtina
Zdroj: Signal, image and video processing [Signal Image Video Process] 2022; Vol. 16 (3), pp. 595-604. Date of Electronic Publication: 2022 Jan 12.
DOI: 10.1007/s11760-021-02045-7
Abstrakt: Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this coronavirus is of great importance, as it allows us to carry out a more precise research on it. However, as we pointed out in a former paper as reported by Roberto Rodríguez (SARS-CoV-2: Enhancement and Segmentation of High-Resolution Microscopy Images. Part I", Sent to Signal, Image and Video Processing Video Processing, Springer, New York, 2020), many times these microscopic images present some blurring problems, which are always susceptible to be improved. The aim of this work is to carry out a theoretical analysis of the proposed algorithms to enhancement and segmentation of these microscopic images, which is important for the design and development of future algorithms before new epidemics.
(© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022.)
Databáze: MEDLINE
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