图像桶形失真校正
论文编号:DZXX284 论文字数:10846,页数:34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
目录
摘要 I
Abstract II
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
页:
[1]