The Mathematical Regularity Coefficient for Facade Patterns

This article investigates whether the visual regularity of a building's facade can objectively be expressed by a numerical value. Grounded in universal neurobiological principles and modern digital image processing methods from mathematical and information theories, this study analyzes 245 architectural compositions using an interdisciplinary approach that combines perception, mathematics, programming, and architectural theory. A coefficient was derived with an almost ideal average correlation to regularity and minimal variability. Building on these findings, an open-source computer tool was developed to measure the regularity of flat architectural compositions. These results enhance our understanding of compositional perception and support the development of advanced architectural design tools, including generative algorithms.

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Publication Details

Journal
Nexus Network Journal
Published
2025-05-26
DOI
https://doi.org/10.1007/s00004-025-00827-x
Primary Topic
Visual Attention and Saliency Detection
Type
article
Field-Weighted Citation Impact
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article

The Mathematical Regularity Coefficient for Facade Patterns

Michał Malewczyk
Nexus Network Journal
Visual Attention and Saliency Detection
article

The Mathematical Regularity Coefficient for Facade Patterns

Michał Malewczyk
article en

Abstract

This article investigates whether the visual regularity of a building's facade can objectively be expressed by a numerical value. Grounded in universal neurobiological principles and modern digital image processing methods from mathematical and information theories, this study analyzes 245 architectural compositions using an interdisciplinary approach that combines perception, mathematics, programming, and architectural theory. A coefficient was derived with an almost ideal average correlation to regularity and minimal variability. Building on these findings, an open-source computer tool was developed to measure the regularity of flat architectural compositions. These results enhance our understanding of compositional perception and support the development of advanced architectural design tools, including generative algorithms.

Nexus Network JournalVol. 27(3)
Gdańsk University of Technology (PL)
Sustainable cities and communities
Openalex Percentile: Top 90%
Visual Attention and Saliency Detection
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