Automatic segmentation of the sequential images of neural stem cell based on geometric active contour / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 994-997, 2008.
Artigo
em Chinês
| WPRIM
| ID: wpr-342696
ABSTRACT
A rapid and robust segmentation system is the base of the research on the change process of neural stem cells. In order to improve this system, against the segmentation of the multiple connected and blurred border cells, we present an improved geometric active contour algorithm based on the level set method and the curve evolution theory. This method can solve the topological change by itself and obtain the more real edges of the cells. This method has been adopted in the segmentation of the sequence of neural stem cell. The results prove the validity and veracity.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Células-Tronco
/
Algoritmos
/
Processamento de Imagem Assistida por Computador
/
Células Cultivadas
/
Biologia Celular
/
Métodos
/
Microscopia
/
Neurônios
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2008
Tipo de documento:
Artigo
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