Cargando…
Pulse Coupled Neural Network-Based Multimodal Medical Image Fusion via Guided Filtering and WSEML in NSCT Domain
Multimodal medical image fusion aims to fuse images with complementary multisource information. In this paper, we propose a novel multimodal medical image fusion method using pulse coupled neural network (PCNN) and a weighted sum of eight-neighborhood-based modified Laplacian (WSEML) integrating gui...
Autores principales: | Li, Liangliang, Ma, Hongbing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151923/ https://www.ncbi.nlm.nih.gov/pubmed/34064588 http://dx.doi.org/10.3390/e23050591 |
Ejemplares similares
-
Log-Gabor Energy Based Multimodal Medical Image Fusion in NSCT Domain
por: Yang, Yong, et al.
Publicado: (2014) -
Multi-Focus Image Fusion via Distance-Weighted Regional Energy and Structure Tensor in NSCT Domain
por: Lv, Ming, et al.
Publicado: (2023) -
Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain
por: Xia, Jingming, et al.
Publicado: (2018) -
Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain
por: Wang, Hongmei
Publicado: (2018) -
An Image Fusion Method Based on Sparse Representation and Sum Modified-Laplacian in NSCT Domain
por: Li, Yuanyuan, et al.
Publicado: (2018)