基于CMOS相机的低相干图像中心条纹提取的算法分析(英文)  

Algorithm Analysis on Extracting the Information of Central Fringe of Low-Coherence Interference Image of CMOS Camera

作　　者：胡姝玲[1] 王鑫龙[1] 孙昱 黄杰[1] 陆乔乔[1] 耿伟彪[1] 

机构地区：[1]北京航空航天大学仪器科学与光电工程学院,北京100191 [2]军事交通学院基础部,天津300162

出　　处：《激光与光电子学进展》2012年第11期80-83,共4页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61074158)资助课题

摘　　要：利用CMOS相机而非常规光电探测器来获取平面信息能够提高抗电磁干扰能力以及测量精度。提出3种算法来提取中心条纹,并通过设计低相干杨氏干涉仪对3种算法进行了实验比较。结果显示面积比较法最有效,能够准确标记中心条纹。此外,它还适用于实时信息显示系统。Complementary metal-oxide-semiconductor （ CMOS ） transistor cameras instead of conventional photoelectric detectors are used to obtain planar information and can improve the tolerance of electromagnetic interference and measurement precision. Three algorithms are proposed to extract central tinges. With a proper design of low-coherence Young＇s fiber interferometer, these algorithms are tested experimentally. The result shows that covered area comparison algorithm is most efficient and the central fringe is marked accurately. In addition, it is suitable to real-time information display systems.

关 键 词：图像处理 CMOS相机 低相干 中心条纹 

分 类 号：TN911.73[电子电信—通信与信息系统]