摘要
针对激光主动探测时光电设备表现出的猫眼效应，搭建了基于CCD的激光主动探测系统，提出了一套有效的光电窥视设备检测算法。该算法在激光脉冲的间隔，同时采集激光主被动图像，根据窥视目标与普通漫反射物体的回波强度差异，利用背景差法检测窥视目标。实验结果表明，在半径为5m的作用范围内，该激光主动探测系统可有效、快速地将光电窥视目标从背景中检测出来，并且不受场景和光照的限制。通过对光学口径为2mm的光电窥视设备在20个不同场景环境下进行实验，正确检测率达到95％，且每帧的检测时间在0．015～0．021s内，满足了实时性需求，验证了本文系统搭建方案的正确性与软件处理算法的有效性。
Based on the cat-eye effect of photoelectric devices, this paper establishes a system of active laser detection with CCD, and puts forward an effective algorithm for detecting peeping devices. The proposed algo- rithm acquires one image when the laser power is on, and the other image when the laser power is off in the la- ser pulse interval. According to the echo intensity difference on the peeping devices and usual objects, the tar- get is detected by using the background difference method. The experimental results show that ~ within a radius of 5 m, the system can effectively and quickly detect peeping devices from background, and is not influenced by the scene and light. Through the experiments on 20 different scenes, the correct detection rate is 95%, and the detection time of each frame is in the range of 0. 015 -0. 021 s, meeting the demand of real-time de- tection, which validate the correctness and effectiveness of this system.
出处
《中国光学》
EI
CAS
CSCD
2015年第2期255-262,共8页
Chinese Optics
基金
国家自然科学基金资助项目(No.61308099)
吉林省重大科技攻关资助项目(No.11ZDGG001)
关键词
激光主动探测
猫眼效应
背景差方法
laser active detection
cat-eye effect
background difference method
