微悬臂梁FPA红外成像系统实时图像去噪算法研究  

Study of real-time image denoising for infrared imaging system using micro-cantilever FPA

作　　者：龚诚[1] 惠梅[1] 董立泉[1] 刘小华[1] 赵跃进[1] 

机构地区：[1]北京理工大学光电学院,北京100081

出　　处：《光学技术》2009年第6期876-878,共3页Optical Technique

摘　　要：基于MEMS热传感效应的红外成像有着独特的优势。利用双材料微悬臂梁制作了MEMS IR FPA,并构建了红外成像系统。针对基于双材料微悬臂梁FPA红外成像系统中的图像噪声,提出了离散量和平均灰度的红外图像实时处理算法,解决了灰度阈值分割法在去除噪声的同时滤除掉目标物体像素、使红外图像细节丢失且灰度级减少的问题,在目标物体像素损失较小的情况下,去除了目标物体周围的随机噪声及背景噪声,提高了信噪比。MEMS thermal transducers is a promising technological platform for IR imaging. MFM IR FPA is fabricated based on bimaterial micro-cantilever, and an uncooled MEMS IR System is structured. Considering the image noise of infrared imaging system using bimaterial micro-cantilever FPA, the real-time IR imaging processing algorithm is raised based on Discrete-variance and Average-gray. This algorithm solves the problem of IR image details reduce and the loss of gray level while using algorithm of gray threshold segmentation and eliminates the random noise and background noise around the IR object successfully, achieves a remarkable effect of the denoising.

关 键 词：离散量 灰度阈值 微悬臂梁 噪声 

分 类 号：TN911.73[电子电信—通信与信息系统]