Layout Optimization of Landscape Architecture based on Intelligent Visual Scene Recognition and Saliency Analysis

摘要

Layout optimization of the landscape architecture based on intelligent visual scene recognition and saliency analysis is studied in this article. Among the many scenaiios, the core behavior analysis of crowd-intensive scenarios in the public areas is particularly important. This article considers the mentioned scenario for general testing. The multi-level parallel processor receives the core image signal from the retina and processes the image information. Through the multi-level visual image feature extraction and image target detection, the learning, memory and recognition functions of the visual information are completed. Hence, consider this technique novelty to apply into the core layout optimization of the landscape. The simulation results have proven the effectiveness.