VR技术下广场绿化景观格局数据关键帧解析

Analysis of Key Frames of Square Greening Landscape Pattern Data Under VR Technology

为强化景观格局表现力,优化格局结构设计,将VR作为技术背景,提出一种广场绿化景观格局数据关键帧解析方法。利用累积直方图及其距离表示、度量影像内容,通过所有影像的相邻帧差与帧差方差,衡量影像内容变化率,确定加权系数取值,采用对应阈值完成关键帧检测,根据变化程度提取VR影像关键帧,将关键帧组建成集合,得到影像关键帧序列;引入后验概率函数,对关键帧影像进行分割,并对分割后关键帧进行归一化处理,提取关键帧影像特征;应用绿化景观格局评价指标,解析格局数据关键帧。经过仿真,所提方法可以准确描述关键帧含有的重要信息。

In order to strengthen the expressiveness of landscape pattern and optimize the design of pattern structure,VR was used as a technical background,and then a method for analyzing key frames of square greening landscape pattern data was proposed.Firstly,the cumulative histogram and its distance were used to indicate and measure the image content.Secondly,the change rate of image content was judged through the difference between adjacent frames and the variance of frame difference,so that the value of the weighting coefficient was determined.Moreover,the corresponding threshold was used to detect the key frame,and extract key frame of VR image.After that,all key frames were combined into a collection to obtain the key frame sequence.In addition,the posterior probability function was introduced to segment the key-frame image,and thus to normalize the key frames.Finally,the key frame image characteristics were extracted,and then greening landscape pattern evaluation indexes were used to analyze the key frame of pattern data.Simulation results show that the proposed method can accurately describe the important information contained in key frames.