Application of Computer Simulation Analysis in Green City Garden Plant Landscape Design

This paper takes garden landscape as the research object, discusses the application of digital media art in assisting garden landscape design, and obtains the optimization probability of various types of garden landscape types in landscape spatial layout through patch generation using the change simulation (PLUS) model. And after using the multi-scale Retinex algorithm to make image enhancement, a fusion of single-scale enhancement results in achieving the initial optimization of the image, after a dynamic interception and stretching operation to restore the enhancement effect to achieve the optimization of the landscape image. Finally, a group of landscape design images are selected as experimental objects to test the effectiveness of digital media art-assisted landscape design. The results show that with the assistance of digital media art, the modulus of the change distance of neighboring units is between 2.21 and 10.89, and the relative change rate takes the value between 0.45 and 5.21. The method is capable of balancing the ups and downs and repetitive rhythms in the design, ensuring that the landscape has good brightness and visual effects.

Section: Introductionmentioning

confidence: 99%

Research based on the use of digital media art in garden landscape design

2023

“…Literature [17] used the method of joint analysis to compare the differences in landscape element preferences between the public and experts and proposed a comprehensive ranking combination of landscape element preferences, which provided new ideas for urban landscape design. Literature [18] incorporates garden plants into the urban landscape design space, proposes a digital landscape design model based on computer simulation, and enhances the landscape planning effect based on automated data design. Literature [19] proposed an intelligent approach to landscape design and land planning by combining neural networks and wireless sensors, using digital technology to continuously explore the best parameters for urban landscape design.…”

Section: Introductionmentioning

confidence: 99%

The Implementation of Art Design Teaching Innovation in Landscape Design Based on Cluster Analysis

Huang

2023

The current art design teaching mode only focuses on the teaching of theoretical knowledge, ignoring the mining of user needs, which can’t make the art design recognized by users. This paper takes the Kano demand model as the basis, combines user demand for innovative art design teaching modes, and provides a related method of demand analysis. The process of art design teaching requires an in-depth analysis of landscape design needs, using cluster analysis methods to cluster design needs and optimization through GA indicators. Based on the Kano demand model, the landscape design evaluation elements are screened, and the data are quantitatively analyzed in terms of satisfaction and cluster analysis results with the landscape design of the ancient city of L as an example. The results show that the demand-oriented art design teaching focuses on grasping the use function and cultural perception of the landscape, and its demand intensity value is 0.68 and 0.89, respectively. Facing different activity characteristics, the users need to take different landscape design tendencies. Compared with the sports-oriented crowd, the entertainment-oriented crowd expects the cultural nature of the scene now sketches and ornaments and the coordination of the overall landscape, and the interval range of its Better coefficient is [0.3], [0.3], and the interval range is [0.3]. The range of the Better coefficient is [0.3,0.5]. Demand-oriented art design teaching mode can give students the ability to deeply explore the user’s needs so as to make the landscape design more in line with the user’s needs and improve the attractiveness of the landscape.

“…Literature [23] showed that digital technology has a positive impact on urban landscape design, and by analyzing intelligent landscape design and land planning based on neural networks and wireless sensor networks, the authors concluded that parametric design is indispensable in modern urban landscapes. Literature [24] analyzes the role of landscape plants in urban landscapes by proposing a computer simulation analysis framework for "task-crowd process evaluation".…”

Section: Introductionmentioning

confidence: 99%

Research on landscape design of rural characteristic town based on big data technology

Yan,

Shi,

Tan

et al. 2023

The integration of production and township, landscape enhancement, industrial reconstruction and other aspects of rural characteristic towns play an important role in promoting social harmony. This paper proposes an optimization design method for the landscape spatial environment of a characteristic town based on an interactive genetic algorithm. Construct the visual feature spatially distributed detection and fuzzy pixel region feature fusional reconstruction model of characteristic town landscape spatial environment design image, adopt the similarity information fusion model to carry out the characteristic town art landscape information fusion perception and chunked region template matching in the process of visual reconstruction of the characteristic town landscape spatial environment design image, and realize the characteristic town art landscape design. Finally, based on the ecological concept, it clarifies the development goal and designs the landscape planning path of rural-characteristic towns. According to the landscape design evaluation analysis of rural characteristic towns, the public perception of the natural landscape at macro (91.98%) and macro (97.43%) scales is significantly higher than that of humanistic landscape, which is dominated by expansive water body landscape and close-up flower and aquatic plant landscape. The standard was only met by the prevalence of river greening in 11 natural environment landscape evaluations. The standard was only met by 3 out of the 19 human environment landscapes evaluated.