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Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs

The fractal analysis of images is a common technique to study natural processes. Its application to landscape photographs, however, requires pre-processing which can produce widely different results. Using two categories of landscape scenes with different levels of vegetation, five types of image segmentation were compared and the resulting structures analysed with the box-counting method. The fractal dimensions estimated were compared and found to characterize either the naturalness or the complexity of the landscape scenes. This demonstrates the potential of fractal analysis for landscape perception studies, and offers a set of reliable methods to estimate the fractal dimensions of landscape photographs.

Autor / Author: Patuano, Agnès
Institution / Institution: The University of Edinburgh, Scotland, UK
Seitenzahl / Pages: 8
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA − Journal of Digital Landscape Architecture, 3-2018
Tagung / Conference: Digital Landscape Architecture 2018 – Expanding the Boundaries: Landscape Architecture in a Big Data World
Veranstaltungsort, -datum / Venue, Date: Munich-Freising, Germany 30-05-18 - 02-06-18
Schlüsselwörter (de):
Keywords (en): Fractal dimension, image segmentation, landscape photographs
Paper review type: Full Paper Review
DOI: doi:10.14627/537642035
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