摘要
为提高室内环境设计的色阶调节能力,提出基于空间光传感技术的室内环境优化模型。采用空间光传感技术采集室内环境图像信息,融合滤波处理后提取空间光传感图像的边缘特征量;通过边缘轮廓特征检测方法进行空间光传感图像的信息跟踪和增强处理,采用形态学融合滤波方法建立室内环境空间设计的综合指标分析模型,通过标记目标物和背景的空间分布,实现室内环境优化设计。仿真结果表明,采用该方法优化室内环境设计的性能较好,色阶调节能力较强,提高了室内环境优化信息采集和特征分析能力。
In order to improve the color level adjustment ability of indoor environment design,an indoor environment optimization model based on spatial light sensing technology is proposed.The space light sensing technology is used to collect the indoor environment image information,and the edge feature quantity of the space light sensing image is extracted after fusion filtering processing;the information tracking and enhancement processing of the space light sensing image are carried out by the edge contour feature detection method,and the comprehensive index analysis model of the indoor environment space design is established by using the morphological fusion filtering method To realize the optimization design of indoor environment.The simulation results show that the performance of this method is good,and the color level adjustment ability is strong,and the ability of information collection and feature analysis of indoor environment optimization is improved.
作者
秦俊晖
QIN Junhui(Institute of Information Technology of GUET,Guilin Guangxi 541001,China)
出处
《激光杂志》
CAS
北大核心
2021年第11期164-167,共4页
Laser Journal
基金
广西高校中青年教师基础能力提升项目(No.2018KY0083)。
关键词
空间
光传感技术
室内环境
光学
融合滤波
检测
space
optical sensing technology
indoor environment
optics
fusion filtering
detection