Is there any methods (like circularity) to decide if the 3D construction close to sphere?
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Hi,
I have got many 3D particles from 2D images and want to get a value to decide if this 3D particles close to perfect sphere. For a 2D shape, I know there is a way to calculate circularity, but is there a similar way for 3D constructions?
Thanks!
4 件のコメント
Jan
2021 年 2 月 4 日
Again: How are your input data are represented? As an image, as coordinates of points or edges, as STL-File, as polytops, as point cloud?
So what exactly is "an object" in your case. How can a "hollow sphere" be distinguished from a "not hollow sphere"? Do you expect an equi-distribution of points on the surface, or inside a volume? Is it defined if the obejct is convex at all?
回答 (1 件)
Shubham Rawat
2021 年 2 月 3 日
Hi,
When finding sphericity for a single particle or object, you can define sphericity as the ratio of surface area of a sphere that has the same volume as the particle or object to the surface area of the particle itself.
Put into mathematical terms, the sphericity given by Ψ ("psi") is:
for the volume of the particle or object and surface area of the particle or object . You can see why this is the case through a few mathematical steps to derive this formula.
Hope this Helps!
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