The mechanism of digitized landscape architecture design under edge computing.

The purposes are to analyze the mechanism of digitized landscape architecture design and stablize the garden landscape image display in constructing garden landscape digitization platform. According to previous research and mobile edge computing, a scheme of digitized landscape architecture design i...

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Autores principales:	Haoqi Wu, Jun Yan
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5205f07934d547b5864eaea5e3a4a56b
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spelling	oai:doaj.org-article:5205f07934d547b5864eaea5e3a4a56b2021-12-02T20:08:04ZThe mechanism of digitized landscape architecture design under edge computing.1932-620310.1371/journal.pone.0252087https://doaj.org/article/5205f07934d547b5864eaea5e3a4a56b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252087https://doaj.org/toc/1932-6203The purposes are to analyze the mechanism of digitized landscape architecture design and stablize the garden landscape image display in constructing garden landscape digitization platform. According to previous research and mobile edge computing, a scheme of digitized landscape architecture design is proposed based on edge computing. This scheme uses discrete elevation calculation to preserve the landscape design image's frame. It adopts the Roberts edge detection and Laplacian operator for high-level stable preservation of landscape images. Simultaneously, the displayed image is stablized using edge computing algorithms. Simulation experiments are performed to verify the effectiveness of the proposed scheme of digitized landscape architecture design based on mobile edge computing. Results demonstrate that the discrete elevation calculation algorithm can avoid low visual rendering in the 3D image generation process, optimize the seed point matching of edge correlation, and ensure image clarity and stability. The edge computing algorithm can fundamentally avoid the problem of image shaking. The impact of different algorithm models on the classification and accuracy of landscape images is analyzed through parameter optimization. Compared with some latest models, the proposed landscape design scheme based on edge computing has better accuracy. The average accuracy can reach more than 90%, and the Kappa coefficient remains at 86.93%. The designed garden landscape digitization platform can stably display 3D garden landscape images while avoiding the shaking of 3D images, which can provide a theoretical basis and practical value for designing and planning landscape architecture.Haoqi WuJun YanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0252087 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Haoqi Wu Jun Yan The mechanism of digitized landscape architecture design under edge computing.
description	The purposes are to analyze the mechanism of digitized landscape architecture design and stablize the garden landscape image display in constructing garden landscape digitization platform. According to previous research and mobile edge computing, a scheme of digitized landscape architecture design is proposed based on edge computing. This scheme uses discrete elevation calculation to preserve the landscape design image's frame. It adopts the Roberts edge detection and Laplacian operator for high-level stable preservation of landscape images. Simultaneously, the displayed image is stablized using edge computing algorithms. Simulation experiments are performed to verify the effectiveness of the proposed scheme of digitized landscape architecture design based on mobile edge computing. Results demonstrate that the discrete elevation calculation algorithm can avoid low visual rendering in the 3D image generation process, optimize the seed point matching of edge correlation, and ensure image clarity and stability. The edge computing algorithm can fundamentally avoid the problem of image shaking. The impact of different algorithm models on the classification and accuracy of landscape images is analyzed through parameter optimization. Compared with some latest models, the proposed landscape design scheme based on edge computing has better accuracy. The average accuracy can reach more than 90%, and the Kappa coefficient remains at 86.93%. The designed garden landscape digitization platform can stably display 3D garden landscape images while avoiding the shaking of 3D images, which can provide a theoretical basis and practical value for designing and planning landscape architecture.
format	article
author	Haoqi Wu Jun Yan
author_facet	Haoqi Wu Jun Yan
author_sort	Haoqi Wu
title	The mechanism of digitized landscape architecture design under edge computing.
title_short	The mechanism of digitized landscape architecture design under edge computing.
title_full	The mechanism of digitized landscape architecture design under edge computing.
title_fullStr	The mechanism of digitized landscape architecture design under edge computing.
title_full_unstemmed	The mechanism of digitized landscape architecture design under edge computing.
title_sort	mechanism of digitized landscape architecture design under edge computing.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5205f07934d547b5864eaea5e3a4a56b
work_keys_str_mv	AT haoqiwu themechanismofdigitizedlandscapearchitecturedesignunderedgecomputing AT junyan themechanismofdigitizedlandscapearchitecturedesignunderedgecomputing AT haoqiwu mechanismofdigitizedlandscapearchitecturedesignunderedgecomputing AT junyan mechanismofdigitizedlandscapearchitecturedesignunderedgecomputing
_version_	1718375239409205248

The mechanism of digitized landscape architecture design under edge computing.

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