Work

Statistical Insights into Spatial Patterns: A Panorama About Lacunarity

Year: 2025

Type: article

Abstract: This overview is designed to illuminate the concept and utility of lacunarity. We first establish a strong foundation with a pedagogical introduction to the lacunarity measure applied to images, detailing analytical examples and a general approach. In the second part, we compare the available software for estimating the lacunarity of images. Related to this goal, we also provide an open-source code in R and Python. The third part then synthesizes these theoretical and computational aspects by presenting an analysis of the diverse applications of lacunarity across various scientific disciplines, utilizing VOSviewer networks to visually organize research topics into distinct clusters. We identify distinct thematic clusters in materials science, biological systems, and medical imaging.

Source: Fractal and Fractional

DOI: 10.3390/fractalfract9090570

Authors: Erveton P. Pinto, Marcelo A. Pires, Thiago B. F. Antunes, Rone N. da Silva, Sílvio M. Duarte Queirós

Institutions: Universidade Federal do Amapá, Centro Brasileiro de Pesquisas Físicas, Universidade Federal de Alagoas, Instituto Nacional de Ciência e Tecnologia de Sistemas Complexos

Language: English

Topic: Digital Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,258

Funders: Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro