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Computer Engineering ›› 2012, Vol. 38 ›› Issue (22): 198-200.

• Networks and Communications • Previous Articles     Next Articles

Distortion Correction Method Based on Image Plane

ZHANG Fan, MENG Shui-jin, PENG Zhong-wei   

  1. (Department of Automation, Institute of Electrical and Information Engineering, Hunan University, Changsha 410082, China)
  • Received:2011-12-31 Revised:2012-03-25 Online:2012-11-20 Published:2012-11-17

基于图像平面的畸变校正方法

张 帆,蒙水金,彭中伟   

  1. (湖南大学电气与信息工程学院自动化系,长沙 410082)
  • 作者简介:张 帆(1963-),男,副教授、硕士,主研方向:图像处理,嵌入式系统;蒙水金、彭中伟,硕士研究生
  • 基金资助:
    湖南省自然科学基金资助项目“嵌入式数字图像液位检测系统”(898202010)

Abstract: To overcome the image distortion by camera in the image level detection system, an image distortion correction algorithm based on image plane is proposed. It uses a virtual standard calibration graph rather than reality one. It uses second-order radial model and iterative striking distortion coefficient, and bilinear interpolation to interpolate the output pixel gray level. Experimental results show that the method can correct distorted image effectively, and the error of distorted correction is within 0.35 pixel. It can improve the accuracy of video detection greatly.

Key words: distortion correction, virtual standard calibration graph, image plane, bilinear interpolation, radial model, distortion coefficient

摘要: 针对图像液位检测系统中摄像头引入的图像畸变,提出一种基于图像平面的校正方法。使用虚拟的标准校正图代替实际图,通过二阶径向模型的反复迭代求取畸变系数,利用双线性插值对输出像素点灰度进行插补。实验结果表明,该方法的校正误差小于0.35个像素点,能有效提高视频检测精度。

关键词: 畸变校正, 虚拟标准校正图, 图像平面, 双线性插值, 径向模型, 畸变系数

CLC Number: