# Filtering of Small Components for Isosurface Generation

arXiv: https://arxiv.org/abs/2510.16684 · HTML: https://mlsanity.com/paper/2510.16684/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 22 references that are in the map.
- First posted on arXiv 19 Oct 2025.

## Builds on (most cited first, 1 of 1)

- [Topological Filtering for 3D Microstructure Segmentation](https://mlsanity.com/paper/2104.13430/) (2021)

## Abstract (arXiv)

Let f: ℝ3 rightarrow ℝ be a scalar field. An isosurface is a piecewise linear approximation of a level set f-1(σ) for some σ ∈ ℝ built from some regular grid sampling of f. Isosurfaces constructed from scanned data such as CT scans or MRIs often contain extremely small components that distract from the visualization and do not form part of any geometric model produced from the data. Simple prefiltering of the data can remove such small components while having no effect on the large components that form the body of the visualization. We present experimental results on such filtering.