Python Forum

Hello everybody,

I'm afraid I'm totally wrong with my question here, but I thought it might be worth a try...
I am currently working on an experiment investigating the formation of planets.

I have a vacuum chamber in which dust particles form bigger agglomerates through accretion (sticking together).
From the imagery I can see those agglomerates which are build up by smaller monomeres.
They look a bit like this (see picture). Now in the imagery I can see those agglomerates rotating with a constant velocity



My goal is to find a way to approximate the volume of such polymeres. But I dont really know how to do this. My idea was
to somehow determine the volume by integrating over the "dark area" at every frame. Then I could take the mean of all
the integrations and would get something like the mean value of the visible area. Then I could calculate the solid of
revlution around the rotation axis.

But I am afraid the measurement error would be huge.
I am certain that there is a better way of doing it. Since I know the "2d shadow" of the object from every angle, there should be some kind of way to determine the volume right?

I am very thankful for every idea / link / or literature that someone would suggest give me.

Greetings from germany!

perhaps: https://scikit-learn.org/stable/modules/...ering.html
and
https://scikit-learn.org/stable/modules/...ation.html

i am assuming you will be doing this in totally zero gravity.

i think you will have to track every discrete particle, or nearly so.