Abstract
In order to improve the landscape design effect, this paper combines intelligent grey space algorithm to improve the design algorithm, and uses Mean-shift algorithm to smooth the multi-focus image. Moreover, this paper considers the spatial information of multi-focus images as well as the grey information of the image, which effectively removes the image noise and retains more grey texture information, thus achieving a better smoothing effect. In addition, this paper uses the maximum inter-class difference algorithm as the grey histogram fitting function of multi-focus images, and completes the recognition of grey overlapping areas of multi-focus images. Finally, this paper uses DEM model to design the terrain, which can not only simulate the terrain of the site, but also complete the site analysis, site leveling and site reconstruction. Through experimental analysis, we can see that the grey space design form proposed in this paper has a good effect in landscape design, and the design scheme proposed in this paper can meet the actual design needs.
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Wu, S. (2024). Analysis on Grey Space Form and Simulation Evaluation in Landscape Design. In: Kountchev, R., Patnaik, S., Wang, W., Kountcheva, R. (eds) Multidimensional Signals, Augmented Reality and Information Technologies. WCI3DT 2023. Smart Innovation, Systems and Technologies, vol 374. Springer, Singapore. https://doi.org/10.1007/978-981-99-7011-7_10
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DOI: https://doi.org/10.1007/978-981-99-7011-7_10
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