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 (2024). Cell Segmentation - SEG-SELF Method (https://www.mathworks.com/matlabcentral/fileexchange/67313-cell-segmentation-seg-self-method), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- Sciences > Biological and Health Sciences > Biomedical Imaging >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Semantic Segmentation >
Tags
Acknowledgements
Inspired by: MUCOS
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.