Cell Segmentation - RFOVE method

版本 1.0.0.2 (1.1 MB) 作者: Costas Panagiotakis
Region-based Fitting of Overlapping Ellipses and its Application to Cells Segmentation
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更新时间 2021/8/14

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This code is a simple implementation of METHOD RFOVE PROPOSED IN [1], a Region-based Fitting of Overlapping Ellipses and its Application to Cells Segmentation.
RFOVE is completely unsupervised, operates without any assumption or prior knowledge on the object’s shape and extends and improves the Decremental Ellipse Fitting Algorithm (DEFA) [1]. Both RFOVE and DEFA solve the multi-ellipse fitting problem by performing model selection that is guided by the minimization of the Akaike Information Criterion on a suitably defined shape complexity measure. However, in contrast to DEFA, RFOVE minimizes an objective function
that allows for ellipses with higher degree of overlap and, thus, achieves better ellipse-based shape approximation.
You can find more details in [1].
Files:
runRFOVE.m : implemetation of the method
We will appreciate if you cite our paper [1] in your work:
[1] C. Panagiotakis and A.A. Argyros, "Region-based Fitting of Overlapping Ellipses and its
Application to Cells Segmentation", Image and Vision Computing, Elsevier, vol. 93, pp. 103810, 2020.
You can download Datasets/Code/Results
from: https://sites.google.com/site/costaspanagiotakis/research/cs

引用格式

Costas Panagiotakis (2024). Cell Segmentation - RFOVE method (https://www.mathworks.com/matlabcentral/fileexchange/74200-cell-segmentation-rfove-method), MATLAB Central File Exchange. 检索来源 .

[1] C. Panagiotakis and A.A. Argyros, "Region-based Fitting of Overlapping Ellipses and its Application to Cells Segmentation", Image and Vision Computing, Elsevier, vol. 93, pp. 103810, 2020.

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