Cell Segmentation - SEG-SELF Method
Region based method for segmenting and splitting images of cells in an unsupervised manner.
Vous suivez désormais cette soumission
- Les mises à jour seront visibles dans votre flux de contenu suivi
- Selon vos préférences en matière de communication il est possible que vous receviez des e-mails
We present a region based method for segmenting and splitting
images of cells in an automatic and unsupervised manner [1-2]. The proposed
method is able to automatically detect and split touching cells.
We will appreciate if you cite our papers [1, 2] in your work:
The newer method RFOVE for cell segmentation can be found in https://www.mathworks.com/matlabcentral/fileexchange/74200-rfove
More details can be found in https://sites.google.com/site/costaspanagiotakis/research/cs
[1] C. Panagiotakis and A. Argyros, Cell Segmentation via Region-based Ellipse Fitting, IEEE International Conference on Image Processing, 2018.
[2] C. Panagiotakis and A. Argyros, Parameter-free Modelling of 2D Shapes with Ellipses, Pattern Recognition, vol. 53, pp. 259-275, 2016.
Citation pour cette source
Costas Panagiotakis (2026). Cell Segmentation - SEG-SELF Method (https://fr.mathworks.com/matlabcentral/fileexchange/67313-cell-segmentation-seg-self-method), MATLAB Central File Exchange. Extrait(e) le .
Remerciements
Inspiré par : MUCOS
Informations générales
- Version 1.0.0.1 (861 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0.1 | Link to RFOVE method for cell segmentation |
||
| 1.0.0.0 |
