Segmentation > *Fast Marching Method

Requires B/W Companion Image

Applies the fast marching method [1] to grow the seeds specified by the centroids of the features in the Companion Image. The algorithm is a more robust version of region growing, where regions grow according to the local grayscale difference around them. The seeds mark the locations to first measure grayscale. Then, all pixels are weighted according to the relative grayscale value difference to the nearest seed. This is reffered to as the weight map.

1. Threshold

Cutoff value to determine when centroids of features (seeds) stop growing. Larger value allows greater growth. (Recommended: 0.01-0.05)


[1] Sethian, J. A. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science, Cambridge University Press, 2nd Edition, 1999.

Need more help with this?
Chat with an expert now ››

Was this helpful?

Yes No
You indicated this topic was not helpful to you ...
Could you please leave a comment telling us why? Thank you!
Thanks for your feedback.