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Tiling with Boundaries: Dense digital images have large connected components

Published: December 12, 2025 | arXiv ID: 2512.11740v1

By: Kyle Fridberg

Potential Business Impact:

Finds big same-color shapes in pictures.

Business Areas:
Data Visualization Data and Analytics, Design, Information Technology, Software

If most of the pixels in an $n \times m$ digital image are the same color, must the image contain a large connected component? How densely can a given set of connected components pack in $\mathbb{Z}^2$ without touching? We answer these two closely related questions for both 4-connected and 8-connected components. In particular, we use structural arguments to upper bound the "white" pixel density of infinite images whose white (4- or 8-)connected components have size at most $k$. Explicit tilings show that these bounds are tight for at least half of all natural numbers $k$ in the 4-connected case, and for all $k$ in the 8-connected case. We also extend these results to finite images. To obtain the upper bounds, we define the exterior site perimeter of a connected component and then leverage geometric and topological properties of this set to partition images into nontrivial regions called polygonal tiles. Each polygonal tile contains a single white connected component and satisfies a certain maximality property. We then use isoperimetric inequalities to precisely bound the area of these tiles. The solutions to these problems represent new statistics on the connected component distribution of digital images.

Country of Origin
🇺🇸 United States

Page Count
39 pages

Category
Mathematics:
Combinatorics