The state and development of cell image segmentation technology / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 487-492, 2002.
Article
in Chinese
| WPRIM
| ID: wpr-340986
ABSTRACT
This paper describes the state and the development of the application of the modern and traditional image segmentation technology in cell slice image segmentation. It includes edge detection, regional segmentation, wavelet transform, fuzzy mathematics, artificial neural networks, morphological image segmentation and so on. At last, the paper summaries that it is difficult to generally segmentate any kind of biological cell slice image automatically because of the complex structure of cell and cell slice image is not even gray distributed. It should be pointed out that general automatic cell slice image segmentation will be achieved only if visual mathematics model corresponding to mammalian vision systems is setup entirely.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Cytological Techniques
/
Neural Networks, Computer
/
Fuzzy Logic
/
Methods
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2002
Type:
Article
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