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作 者:韩威华[1,2,3] 王咏梅[2] 吕建工[2] 杜述松[2]
机构地区:[1]中国科学院研究生院,北京100049 [2]中国科学院空间科学与应用研究中心,北京100190 [3]北京航天飞行控制中心,北京100094
出 处:《科学技术与工程》2010年第10期2420-2423,共4页Science Technology and Engineering
基 金:国家自然科学基金(40804036)资助
摘 要:中高层大气的探测与研究日益受到世界各国高度关注,中国科学院空间中心自行设计搭建了带有大口径望远镜的星载FPI原理样机,获取了干涉条纹图像。介绍FPI的原理和特点,阐述干涉条纹的处理方法,即滤波的基础上进行图像分割和干涉条纹细化线条提取。两步滤波分为中值滤波去除脉冲干扰和区域背景补偿,再采用区域平均灰度值阈值法图像分割得到二值化条纹,数学形态学运算填充小的断裂点和消除毛刺,进行条纹细化操作提取条纹。应用VC++开发了图像处理软件平台,实现了多种滤波、分割和细化的算法,各种处理结果予以对比。FPI干涉条纹处理自动化的方法应用效果明显,得到验证。While world counties have been paying closer attention to Middle and Upper Atmosphere exploration,Center for Space Science and Application Research of CAS have designed and constructed a spaceborne FPI prototype with a large diameter telescope.As a consequence,image of interference fringe was acquired.FPI principle and feathers are presented simply;including filtering,segmentation and thinning,methods of auto-processing the interference fringe are interpreted.Filtering is composed of Median Filtering and background compensation.Through selecting the area mean gray scale as threshold for segmentation,binary fringe is obtained.Mathematical morphology is fitting for restoring rupture and burr;thinning process is utilized.Eventually fringe pattern lines are achieved.Visual C++ is adopted to develop the FPI interference fringe image process software and various filtering,segmentation and thinning algorithms are implemented.By comparing the results and analyzing,the methods mentioned above have a better experiment result in practice.
关 键 词:法布里-帕罗干(Fabry-Perot FPI) 样机 干涉条纹图像 滤波 图像分割 细化
分 类 号:P403[天文地球—大气科学及气象学]
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