Asymptotic Analysis and Random Sampling of Digitally Convex Polyominoes
Olivier Bodini (LIPN), Alice Jacquot (LIPN), Philippe Duchon (LaBRI,, INRIA Bordeaux - Sud-Ouest), Ljuben R. Mutafchiev (LIPN)

TL;DR
This paper provides a combinatorial analysis and a uniform sampling method for digitally convex polyominoes, revealing their limit shape and asymptotic properties through theoretical and experimental approaches.
Contribution
It introduces a new combinatorial description and a uniform sampling algorithm for digitally convex polyominoes, along with analysis of their asymptotic behavior and limit shape.
Findings
Sampler demonstrates a limit shape for large polyominoes
Derived combinatorial symbolic description of digitally convex polyominoes
Analyzed asymptotic properties of digitally convex polyominoes
Abstract
Recent work of Brlek \textit{et al.} gives a characterization of digitally convex polyominoes using combinatorics on words. From this work, we derive a combinatorial symbolic description of digitally convex polyominoes and use it to analyze their limit properties and build a uniform sampler. Experimentally, our sampler shows a limit shape for large digitally convex polyominoes.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Digital Image Processing Techniques · Advanced Combinatorial Mathematics
