ACWE

Active Contour Without Edges

Description

This is a simple implementation of the Active Contour Without Edges (ACWE) algorithm.

ACWE is a method for segmentation of images, which is based on the morphological reconstruction of the contour of the image.

Usage

The algorithm is implemented in the acwe function. It takes as arguments:

• Img: the input image
• phi0: the initial contour
• max_Iter: the maximum number of iterations
• lambda1: the weight of the first term of the data fidelity term
• lambda2: the weight of the second term of the data fidelity term
• epsilon: the accuracy of the iterative algorithm

To run the algorithm, you can use the Active_Contour_Without_Edges script with the --path option to specify the path to the acwe function and use default values for the other parameters.

As follow :

python Active_Contour_Without_Edges.py --path "image_path"

References

[1] (Chan, T. F., et L. A. Vese. « Active contours without edges ». IEEE Transactions on Image Processing, vol. 10, no 2, février 2001, p. 266‑77. DOI.org (Crossref), https://doi.org/10.1109/83.902291.