Application of interactive Genetic Algorithm in landscape planning and design

In order to improve the design effect of garden landscape space environment and optimize structure environment, an optimization method based on interactive genetic algorithm was proposed. Landscape is built with image visual feature distributed monitoring model fuzzy pixel area fusion reconstruction model, by multistage decomposition gray characteristics, established model. The also combines block template matching features detection, information using similarity reconstructs perception process fusion, in extract characteristic image, Finally, used realize quality assessment art reconstruction. simulation results show that compared traditional method, spatial processed this better, recognition accuracy higher, output signal-to-noise ratio improved 14.6%. experimental prove introduction planning can effectively solve problems multi-level separation design, structure, achieve good effect.