The mechanism of digitized landscape architecture design under edge computing

Area of Science:

• Digital landscape architecture
• Computer vision
• Edge computing

Background:

• Digitizing landscape architecture is crucial for modern design and planning.
• Displaying 3D garden landscape images stably presents significant technical challenges.
• Mobile edge computing offers potential solutions for real-time image processing and stabilization.

Purpose of the Study:

• To analyze the mechanism of digitized landscape architecture design.
• To stabilize garden landscape image display on a digitization platform.
• To evaluate a proposed edge computing-based scheme for landscape design and image display.

Main Methods:

• Proposed a digitized landscape architecture design scheme based on mobile edge computing.
• Utilized discrete elevation calculation for image frame preservation.
• Employed Roberts edge detection and Laplacian operator for image stabilization.
• Implemented edge computing algorithms to prevent image shaking.

Main Results:

• Discrete elevation calculation optimized seed point matching and ensured image clarity and stability.
• Edge computing algorithms effectively prevented 3D image shaking.
• The proposed scheme achieved over 90% average accuracy and a Kappa coefficient of 86.93%.
• Demonstrated superior accuracy compared to recent models through parameter optimization.

Conclusions:

• The developed garden landscape digitization platform stably displays 3D images, overcoming previous limitations.
• The edge computing approach provides a theoretical basis and practical value for landscape architecture design and planning.
• The scheme enhances the visual rendering and stability of digital landscape designs.