摘要
针对地震后救援现场光照度低、温度变化复杂等特点,设计一款视觉生命探测系统,该系统主要由图像采集、图像传输、图像处理及显示、系统控制四模块构成。当救援现场光照度≥1.0 lx时,系统对救援现场进行可见光图像采集;当救援现场光照度<1.0 lx时,采用红外主动探测方式,即系统近红外光源打开,CCD接收救援现场反射的近红外光并将其转化为图像信号。同时,为提高救援现场环境成像的信噪比,系统中图像处理模块对采集的图像进行相应处理。该系统可实现低照度下震后救援现场的高清晰成像要求,为救援人员制定高效可行的救援方案提供决策依据。
A visual life detection system is designed to use in the rescue scene after the earthquake that is low illuminance and complex temperature change. The system consists of image acquisition, image transmission, image processing and display, control system. When the illuminance of the rescue scene is no less than 1.01x, the system uses visible light image acquisition to the rescue site, conversely, the active infrared detection way is chosen, that is the near infrared light source of the system is open, CCD detects the reflectance of near infrared from the rescue scene and converts them into image signal. And the acquisition images are processed in image processing module of the system to improve the SNR of the image of the rescue scene. The system can get quality images of the rescue scene after the earthquake and provide decision basis for the rescue workers to make effective rescue plan.
出处
《红外技术》
CSCD
北大核心
2012年第9期521-524,共4页
Infrared Technology
基金
中国地震局教师科研基金
编号:20120107
中央高校基本科研业务费专项资金(创新项目团队资助计划)
编号:ZY20110104
关键词
机器视觉
视觉生命探测系统
红外主动探测
地震救援
machine vision, visual life detection system, active infrared detection, earthquake rescue
作者简介
宋燕星（1980-），女，博士后，讲师，主要从事光电检测及图像处理方面的研究，E-mail：yanxing7090091@163．com。
