[1]赵丹阳,吕 勇,李晓英.鱼眼图像畸变的双向经度快速校正方法[J].红外技术,2019,41(10):956-962.[doi:doi:10.11846/j.issn.1001_8891.201910011]
 ZHAO Danyang,LYU Yong,LI Xiaoying.Rapid Bidirectional Longitude Correction Method for Fish-eye Image Distortion[J].Infrared Technology,2019,41(10):956-962.[doi:doi:10.11846/j.issn.1001_8891.201910011]
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鱼眼图像畸变的双向经度快速校正方法
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
41卷
期数:
2019年第10期
页码:
956-962
栏目:
出版日期:
2019-10-21

文章信息/Info

Title:
Rapid Bidirectional Longitude Correction Method for Fish-eye Image Distortion
文章编号:
1001-8891(2019)10-0956-07
作者:
赵丹阳吕 勇李晓英
北京信息科技大学 仪器科学与光电工程学院,北京 100192
Author(s):
ZHAO DanyangLYU YongLI Xiaoying
School of Instrument Science and Opto-electronics Engineering, Beijing Information Science and Technology University,
Beijing 100192, China
关键词:
畸变经度校正鱼眼图像坐标映射
Keywords:
distortion longitude correction fish-eye image coordinate mapping
分类号:
TP391
DOI:
doi:10.11846/j.issn.1001_8891.201910011
文献标志码:
A
摘要:
大视场角的鱼眼镜头在成像时由于不同视场垂轴放大率不同,从而产生畸变使最终成像弯曲变形,这为识别和测量等应用带来了不便。针对传统经度校正方法的不足,将算法改进为双向经度鱼眼图像快速校正算法。通过对鱼眼图像有效区域进行划分,并对不同区域内的畸变点在横、纵两个方向上分别建立校正模型,确定畸变图像与理想图像之间坐标映射关系,求取校正坐标的位置。最后对图像进行非线性拉伸,改善图像中心与边缘放大率不同而产生的“膨胀感”,获得符合人眼视觉习惯的图像。运用Matlab对3组图像进行校正实验,结果表明,该算法能快速有效地对鱼眼图像进行畸变校正。
Abstract:
 Images taken with large field of view (FOV) fish-eye lenses exhibit distortion because of differing lateral magnification in different fields of view. This kind of distortion makes identification and measurement inconvenient. To resolve the shortcomings of the traditional longitude correction method, an improved rapid bidirectional longitude correction method is proposed. The effective area of the fish-eye image was divided into parts, and a correction model for different points in different vertical and horizontal areas was built to determine the coordinate mapping relationship between the distorted image and the ideal image. The position of the correction coordinates can then be obtained according to this relationship. Finally, nonlinear stretching was performed to abate the “swelling” caused by the difference of magnification between the center and edge of the image to obtain the image that accords with the human-perceived version. Three groups of images were corrected by using MATLAB. The results demonstrate that this method can correct the distortion of fish-eye images quickly and effectively.

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备注/Memo

备注/Memo:
收稿日期:2018-09-19;修订日期:2018-11-08.
作者简介:赵丹阳(1994-),女,河南鄢陵人,硕士研究生,现主要从事光电系统与仿真方面的研究。E-mail:839752765@qq.com。
通信作者:吕勇(1971-),男,安徽芜湖人,教授,现主要从事精密测量技术与光电检测技术研究。
基金项目:“十三五”装备预研共用技术和领域基金。
更新日期/Last Update: 2019-10-23