The Research of Plane Array Camera Geometric Distortion Correction Method

JIN Yuan; MENG Jin-bao; WANG Kun; CAI Han-hui; XI Ying; ZHU Jin

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The Research of Plane Array Camera Geometric Distortion Correction Method

更新时间：2026-09-04

- The Research of Plane Array Camera Geometric Distortion Correction Method
- Vol. 28, Issue 10, Pages: 36-38(2011)
- 作者机构：
  
  南京理工大学计算机科学与技术学院,江苏,南京,210094
- 作者简介：
- 基金信息：
- DOI：
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- Published：2011
- 稿件说明：
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金元, 孟金宝, 王琨, 蔡汉辉, 席英, 朱近. 面阵相机几何畸变矫正方法研究[J]. 微电子学与计算机, 2011, 28(10): 36-38,43.

JIN Yuan, MENG Jin-bao, WANG Kun, et al. The Research of Plane Array Camera Geometric Distortion Correction Method[J]. 2011, 28(10): 36-38.
金元, 孟金宝, 王琨, 蔡汉辉, 席英, 朱近. 面阵相机几何畸变矫正方法研究[J]. 微电子学与计算机, 2011, 28(10): 36-38,43. DOI：

JIN Yuan, MENG Jin-bao, WANG Kun, et al. The Research of Plane Array Camera Geometric Distortion Correction Method[J]. 2011, 28(10): 36-38. DOI：

摘要

由于机械加工安装、镜头光学特性等误差因素会使相机拍摄的图像产生非线性畸变

所以在应用所拍摄图像之前需要对图像进行畸变校正.在从硬件和软件两个方面对图像进行畸变校正的方法进行总结的基础上

具体介绍了基于BP神经网络的图像几何畸变矫正方法和网格靶标交点坐标的提取方法.实验结果表明

BP神经网络的图像几何畸变矫正方法简单易于实现

且能较全面地拟合畸变函数

得到高精度的校正图像.

Abstract

Because of the error factors such as machining installation and optical properties of the lens

The images will produce nonlinear distortion.The distorted images must be corrected before they are used.This paper presents BP neural networks method which is based on summarizing hardware and software methods of correction and intersection extraction in details.Experimental results show that both are easy to implement

and BP neural network method can fit the distortion function of a more comprehensive

and obtain high-precision calibration images.

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