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

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.