Closed Zrrr1997 closed 1 year ago
Hi @Zrrr1997
Thats a very good question.
You are right, varying v
will vary the tradeoff between spatial gradient and appearance based energy optimisation.
In particular the use of v
comes from the Generalised Geodesic Distance description from:
Criminisi, Antonio, et al. "Geodesic image and video editing." ACM Trans. Graph. 29.5 (2010): 134-1. (link: https://search.iczhiku.com/paper/yHJzBI5aZkfmrKr4.pdf) - In particular have a look at equation 3 and the description in that section of the paper to get better understanding.
I hope that helps!
Muhammad Asad
Closing this as I already had one-to-one discussion with you regarding the questions you have.
Hi,
I am trying to tune the Geodesic Distance for the MSD Spleen dataset and wonder how exactly the
v
parameter should be fine-tuned.The documentation states that it is a "weighting factor for establishing relationship between unary and spatial distances". My guess at looking at the code and re-reading the GeoS paper is that it balances the spatial and appearance correlation between the pixels/voxels, similarly to the energy terms in CRFs.
However, I could not really identify in which equation in GeoS I should look for this parameter so that I have a better understanding of how to tune it. Do high values of
v
enhance spatial or appearance correlation?I would be grateful if you could shed some light onto this!
Thanks for the wonderful work!
Best, Zdravko