Cell Segmentation - SEG-SELF Method

Versione 1.0.0.1 (861 KB) da Costas Panagiotakis
Region based method for segmenting and splitting images of cells in an unsupervised manner.
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Aggiornato 8 feb 2020

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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.

Cita come

Costas Panagiotakis (2025). Cell Segmentation - SEG-SELF Method (https://it.mathworks.com/matlabcentral/fileexchange/67313-cell-segmentation-seg-self-method), MATLAB Central File Exchange. Recuperato .

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Versione Pubblicato Note della release
1.0.0.1

Link to RFOVE method for cell segmentation
1.0.0.0