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 appli-cation 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.
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dig-wur-nl-wurpubs-5730602024-03-09 Patuano, A. Article/Letter to editor Journal of Digital Landscape Architecture 3 (2018) ISSN: 2367-4253 Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs 2018 The fractal analysis of images is a common technique to study natural processes. Its appli-cation 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. en application/pdf https://research.wur.nl/en/publications/measuring-naturalness-and-complexity-using-the-fractal-dimensions 10.14627/537642035 https://edepot.wur.nl/535184 Life Science https://creativecommons.org/licenses/by-nd/4.0/ Wageningen University & Research |
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The fractal analysis of images is a common technique to study natural processes. Its appli-cation 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. |
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Article/Letter to editor |
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Life Science |
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Patuano, A. |
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Patuano, A. |
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Patuano, A. |
title |
Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs |
title_short |
Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs |
title_full |
Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs |
title_fullStr |
Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs |
title_full_unstemmed |
Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs |
title_sort |
measuring naturalness and complexity using the fractal dimensions of landscape photographs |
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https://research.wur.nl/en/publications/measuring-naturalness-and-complexity-using-the-fractal-dimensions |
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AT patuanoa measuringnaturalnessandcomplexityusingthefractaldimensionsoflandscapephotographs |
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1813198232899026944 |