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.
Article
in Chinese
| 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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Stem Cells
/
Algorithms
/
Image Processing, Computer-Assisted
/
Cells, Cultured
/
Cell Biology
/
Methods
/
Microscopy
/
Neurons
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2008
Type:
Article
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