论文部分内容阅读
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。
Infrared imaging based on MEMS thermal sensing has unique advantages. The MEMS IR FPA was fabricated using a two-material micro-cantilever and an infrared imaging system was constructed. Aiming at the image noise in the FPA infrared imaging system based on two-material micro-cantilever, the discrete and average gray-scale real-time infrared image processing algorithms are proposed to solve the problem that the gray threshold segmentation method removes the pixels of the target object while removing the noise, So that the details of the infrared image is lost and the gray level is reduced. When the target pixel loss is small, the random noise and the background noise around the target object are removed, and the signal-to-noise ratio is improved.