Research on Landscape Image Processing Based on Neural Network Algorithm

In order to create a good landscape environment, it is necessary not only to make the layout beautiful and exquisite, in line with the public aesthetic point of view, but also to flexibly use new construction technologies to ensure the good quality of landscape construction, so as to truly create a landscape area with beautiful environment, excellent quality and rich functions for people and provide assistance for the construction and development of the city. The reasonable distribution of high-quality garden landscape can not only represent the overall image of the city, but also represent the cultural heritage of the city. In this paper, an algorithm of landscape image processing based on artificial neural network (ANN) is proposed, and ANN is applied to solve the optimization problem of landscape spatial layout with performance constraints, which realizes the optimization design of landscape spatial layout and lays a solid foundation for the automatic computer optimization design of landscape space. The simulation results show that this algorithm is more accurate in optimizing the spatial pattern of community culture, which is 26.88% higher than the traditional layout optimization algorithm, and can accurately locate the edge contour of the optimized space. This method not only improves the rationality and coordination of landscape planning, but also greatly reduces the cost of community greening planning.