However, due to the advanced technology, the generated data and images cannot be processed effectually, which dramatically restricts digitized landscape architecture design and significantly affects user experience of such platforms. Traditional 3D digitization platforms of landscape architecture put excessive emphasis on the digital acquisition process. Digitized landscape architecture design collects garden landscape data and describes the garden’s 3D landscape using imaging technology. Thus, higher requirements were put forward for landscape architecture design. Liu (2020) pointed out that the current landscape design emphasized the comprehensive planning and design of landscape and life, nature and humanities, culture and entertainment. This platform involves multi-faceted content, such as landscaping, human landscape design, overall planning and design, garden road planning, and building configuration. Digitized design and planning of landscape architecture can display landscape architecture images on mobile phones with landscape data via a digital platform that uses Virtual Reality (VR) technology.
With the development of the information industry, research on computer digitization has involved numerous fields, including landscape architecture planning.
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. The average accuracy can reach more than 90%, and the Kappa coefficient remains at 86.93%. Compared with some latest models, the proposed landscape design scheme based on edge computing has better accuracy. The impact of different algorithm models on the classification and accuracy of landscape images is analyzed through parameter optimization. The edge computing algorithm can fundamentally avoid the problem of image shaking. 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. Simulation experiments are performed to verify the effectiveness of the proposed scheme of digitized landscape architecture design based on mobile edge computing. Simultaneously, the displayed image is stablized using edge computing algorithms. It adopts the Roberts edge detection and Laplacian operator for high-level stable preservation of landscape images. This scheme uses discrete elevation calculation to preserve the landscape design image’s frame. According to previous research and mobile edge computing, a scheme of digitized landscape architecture design is proposed based on 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.
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