Cargando…
COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter
CT image of COVID-19 is disturbed by impulse noise during transmission and acquisition. Aiming at the problem that the early lesions of COVID-19 are not obvious and the density is low, which is easy to confuse with noise. A median filtering algorithm based on adaptive two-stage threshold is proposed...
Autores principales: | Guo, Shuli, Wang, Guowei, Han, Lina, Song, Xiaowei, Yang, Wentao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847113/ https://www.ncbi.nlm.nih.gov/pubmed/35186109 http://dx.doi.org/10.1016/j.bspc.2022.103552 |
Ejemplares similares
-
Edge-Preserving Median Filter and Weighted Coding with Sparse Nonlocal Regularization for Low-Dose CT Image Denoising Algorithm
por: Yuan, Quan, et al.
Publicado: (2021) -
Asymptomatic COVID-19 CT image denoising method based on wavelet transform combined with improved PSO
por: Wang, Guowei, et al.
Publicado: (2022) -
Biomedical Image Denoising Based on Hybrid Optimization Algorithm and Sequential Filters
por: N., Yousefi Moteghaed, et al.
Publicado: (2020) -
Application of Multiple-Optimization Filtering Algorithm in Remote Sensing Image Denoising
por: Zhang, Xuelin, et al.
Publicado: (2023) -
Median Modified Wiener Filter for nonlinear adaptive spatial denoising of protein NMR multidimensional spectra
por: Cannistraci, Carlo Vittorio, et al.
Publicado: (2015)