Cargando…
Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering
This paper presents a novel method for segmentation of white blood cells (WBCs) in peripheral blood and bone marrow images under different lights through mean shift clustering, color space conversion and nucleus mark watershed operation (NMWO). The proposed method focuses on obtaining seed points. F...
Autores principales: | Liu, Zhi, Liu, Jing, Xiao, Xiaoyan, Yuan, Hui, Li, Xiaomei, Chang, Jun, Zheng, Chengyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610533/ https://www.ncbi.nlm.nih.gov/pubmed/26370995 http://dx.doi.org/10.3390/s150922561 |
Ejemplares similares
-
White Blood Cell Segmentation by Color-Space-Based K-Means Clustering
por: Zhang, Congcong, et al.
Publicado: (2014) -
Lesion segmentation in breast ultrasound images using the optimized marked watershed method
por: Shen, Xiaoyan, et al.
Publicado: (2021) -
Segmentation of White Blood Cells From Microscopic Images Using a Novel Combination of K-Means Clustering and Modified Watershed Algorithm
por: Ghane, Narjes, et al.
Publicado: (2017) -
Graphical Image Region Extraction with K-Means Clustering and Watershed
por: Jardim, Sandra, et al.
Publicado: (2022) -
Histological image segmentation using fast mean shift clustering method
por: Wu, Geming, et al.
Publicado: (2015)