图像桶形失真校正_电子信息工程毕业论文范文
发布时间：2015-01-14
来源：人大经济论坛
电子信息工程毕业论文范文
摘要I
AbstractII
第1章 绪论1
第2章 图像失真几何校正3
2.1 数字图像与数字图像处理3
2.2 图像失真与几何校正7
2.2.1 图像失真7
2.2.2 图像失真校正7
2.3 论文的总体结构7
2.4 本章小结8
第3章 图像失真及失真几何校正综述9
3.1 引起图像失真的原因分析9
3.2图像失真的类型10
3.3几何校正的方法12
3.4 本章小结14
第4章 成像系统的几何失真校正方法14
4.1成像系统几何畸变模型14
4.2镜头畸变模型15
4.3短焦距成像系统镜头的畸变15
4.4具体校正方法17
4.4.1光学成像的基本规律17
4.4.2具体校正方法18
4.5 本章小结20
第5章 实验和结果分析20
5.1计算结果20
5.2图片实现前后对比23
5.3实验结果讨论23
5.4 本章小结24
第6章 总结与展望25
6.1 全文总结25
6.2不足点25
6.3 展望25
6.4 本章小结26
致谢27
参考文献28
摘要
几何畸变校正是数字图像处理中的重要内容。对存在着几何畸变的图像进行检测和定量分析之前, 必须消除这些畸变。光学成像系统非线性几何畸变的校正仍是一个未能很好解决的课题, 一些方法还不能很好地实用。本文对短焦距成像系统的失常导致的非线性几何畸变, 分析了成像过程。本文介绍一种工程校正方法, 对短焦距摄像机镜头的畸变进行数字校正，先建立镜头畸变模型，找出径向畸变的算法，利用光学成像的基本规律对原始图像进行修正，找出具体的校正方法，能算出关键点k1和k2的值，最后用实现过程在VC++环境下进行，对程序加以调试。实验结果表明, 该方法具有简单、实用的特点。
关键词: 短焦距，径向畸变, 几何畸变, 几何校正
Abstract
The geometry distortion adjustment is an important content in the digital image processing. Picture with geometry distortion must be eliminated these distortions before being carried on the detection and the quantitative analysis. It is still a topic that has not been able very good to solve to carry on the adjustment to non-linear geometry distortion of the optics imagery system, and some methods cannot be well practical. This article has analyzed the imagery process of the image which includes the non-linear geometry distortion caused by abnormality of the short focal distance imagery system. This article introduced one method of project adjustment, which carries on the numeral adjustment to the short focal distance camera lens distortion. The method is firstly to discover the algorithm of the radial direction distortion through establishing the lens distortion model, and then to discover the concrete adjustment method through the primitive the picture having been revised by using the optics imagery basic rule and to figure out the value of the key point k1 and the k2, finally to realize the process under the VC++ environment and to perform to the procedure to debug. The experimental results indicate that this method has the practical and simple characteristic.
Keywords: Short focal distance, Radial distortion, Geometrical distortion, Geometric rectification
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