Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (12): 111-114.

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Fisheye distortion chessboard images correction

HUANG Yanyan1,2, LI Qing2, ZHANG Binzhen1   

  1. 1.Instruments and Electronics Institute, North University of China, Taiyuan 030051, China
    2.Kunshan Department, Institute of Microelectronics of Chinese Academy of Sciences, Kunshan, Jiangsu 215300, China
  • Online:2014-06-15 Published:2015-05-08

鱼眼畸变棋盘格图像校正

黄岩岩1,2,李  庆2,张斌珍1   

  1. 1.中北大学 仪器与电子学院,太原 030051
    2.中国科学院 微电子所昆山分所,江苏 昆山 215300

Abstract: Distorted checkboard image can more accurately describe the characteristics of the fisheye lens distortion, so the study of distorted checkboard image correction algorithm is importent to correct the distorted image accurately and efficiently. Based on the reaserch of correction algorithm by Carroll et al, a simple and fast calibration method is proposed for distorted checkboard images. Instead of line feature as the input of model, corners of the checkboard are preferred. Then the objective function is optimized using linear system. In this way, distortion can be achieved automation, as well as the efficiency. Experiments results show that the method is convenient and practical, and the result of correction is well, too.

Key words: chessboard images, Carroll correction, straitline features, linear optimization

摘要: 畸变棋盘格图像能够更精确地描述鱼眼镜头的畸变特征,畸变棋盘格图像校正算法的研究对实现畸变图像准确快捷的校正具有重要意义。在研究Carroll等人提出的校正方法的基础上,针对畸变的棋盘格图像提出了一种简单、快捷的校正方法。以棋盘格的角点坐标替代直线特征信息作为校正模型的输入,对建模后的目标函数进行线性优化求解。该方法实现了畸变校正的自动化,提高了系统的效率。实验表明,该方法方便可行,校正结果良好。

关键词: 棋盘格图像, Carroll校正, 直线特征, 线性优化