Cell Segmentation - SEG-SELF Method
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.
Cite As
Costas Panagiotakis (2026). Cell Segmentation - SEG-SELF Method (https://se.mathworks.com/matlabcentral/fileexchange/67313-cell-segmentation-seg-self-method), MATLAB Central File Exchange. Retrieved .
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- Sciences > Biological and Health Sciences > Biomedical Imaging >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Semantic Segmentation >
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Acknowledgements
Inspired by: MUCOS
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