摘要
在计算机视觉研究领域,采集到的图像通常由于被测物体局部高亮或局部镜面反射导致局部过饱和,从而影响测量系统的后续数据处理。针对此问题,根据反射式硅基液晶能够逐像素调节入射光的发射率的性质,采用高解析度硅基液晶(liquidcrystal on silicon,LCoS)和图像传感器(CCD或CMOS)相结合,设计了基于LCoS的图像亮度调节硬件系统。根据硅基液晶与图像传感器的光学性质,确立了摄像机模型像平面和LCoS掩膜平面之间的映射关系,提出了基于空间映射的像素对应算法,实验证明,该算法准确、可靠,可以实现图像亮度的像素级调整。
In the research field of computer vision, because of the partial high light of the measured object or partial specular reflection, the phenomenon of image partial over-saturation occurs from time to time. This phenomenon may lead to the failure in subsequent data processing that is the core of the measurement system. Aiming at this problem, based on the characteristic that the emission rate of reflective liquid crystal on silicon （LCoS） can be adjusted per pixel, a hardware system of image brightness adjustment was designed based on the combination of high-resolution liquid crystal on silicon （LCoS） and image sensor （CCD or CMOS）. According to the optical characteristics of LCoS and image sensor,the mapping relationship between the image plane of camera model and the mask plane of LCoS is established, and the pixel mapping algorithm based on space projection is proposed. Experiment results prove that the proposed algorithm is accurate and reliable, and the image brightness adjustment per pixel can be achieved.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2013年第1期147-152,共6页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51105273)资助项目
关键词
计算机视觉
高解析度硅基液晶
图像亮度调节
空间映射
像素级
像素对应算法
computer vision
liquid crystal on silicon （LCoS）
image brightness adjustment
space mapping
pixel level
pixel mapping algorithm
