摘要
图像畸变校正是分布式孔径系统(DAS)需要解决的先期问题。介绍了描述图像径向与切向畸变的Brown模型及其畸变量(适应度)度量标准;讨论了智能优化算法之一的混合蛙跳算法(SFLA)及其初始种群拉丁超立方抽样(LHS)算法;分别对光线追迹畸变模型、Brown畸变模型进行了图像仿真和畸变校正处理。结果显示,原始点与校正点的最大误差距离在2个像素以内,验证了算法的有效性。最后应用该方法到实际广角CCD相机拍摄的靶纸校正中,得到了较满意的结果。该算法和仿真分析结果对DAS系统的研制具有一定理论和实验意义。
Image distortion correction is a prerequisite for distributed aperture system （DAS）. Brown model and its aberration （fitness） metric describing radial and tangential distortions of image are introduced. As one of intelligent optimization algorithms, shuffled frog leaping algorithm （SFLA） and its initial population Latin hypercube sampling （LHS）,are discussed. Image aberration model （from ray tracing method） and Brown distortion model are simulated and corrected respectively. Results show that characteristic point’s positions between origional and corrected are within 2 pixels, which verifies effectiveness of algorithm. Finally, this correction method is applied to correction of target paper by wideangle CCD camera, and satisfactory results are obtained. The algorithms and simulation results have certain theoretical and experimental significance to development of DAS equipment.
作者
刘超
秦川
陶忠
王婉丽
骆媛
王晶
Liu Chao Qin Chuan Tao Zhong Wang Wanli Luo Yuan Wang Jing(Military Representative Office of Army Aviation Bureau in Xi＇an, Xi＇an 710065, China Xi＇an Institute of Applied Optics, Xi＇an 710065, China)
出处
《应用光学》
CAS
CSCD
北大核心
2017年第2期243-249,共7页
Journal of Applied Optics
基金
国家国际科技合作专项(2015DFA10670)
关键词
广角畸变
蛙跳算法
拉丁超立方抽样
图像校正
Brown系数
wide angle distortion
shuffled frog leaping algorithm
Latin hypercube sampling
image correction
Brown parameters
作者简介
刘超（1985-），男，陕西西安人，硕士，工程师，主要从事航空结构仿真与图像处理方面的研究工作。E-mail：906890789@qq．com
