圖像桶形失真校正

電子信息工程論文編號:DZXX284  論文字?jǐn)?shù):10846,頁數(shù):34

摘要 I
Abstract II
第1章 緒論 1
第2章  圖像失真幾何校正 3
2.1 數(shù)字圖像與數(shù)字圖像處理 3
2.2 圖像失真與幾何校正 7
2.2.1 圖像失真 7
2.2.2 圖像失真校正 7
2.3 論文的總體結(jié)構(gòu) 7
2.4 本章小結(jié) 8
第3章 圖像失真及失真幾何校正綜述 9
3.1 引起圖像失真的原因分析 9
3.2圖像失真的類型 10
3.3幾何校正的方法 12
3.4 本章小結(jié) 14
第4章 成像系統(tǒng)的幾何失真校正方法 14
4.1成像系統(tǒng)幾何畸變模型 14
4.2鏡頭畸變模型 15
4.3短焦距成像系統(tǒng)鏡頭的畸變 15
4.4具體校正方法 17
4.4.1光學(xué)成像的基本規(guī)律 17
4.4.2具體校正方法 18
4.5 本章小結(jié) 20
第5章 實驗和結(jié)果分析 20
5.1計算結(jié)果 20
5.2圖片實現(xiàn)前后對比 23
5.3實驗結(jié)果討論 23
5.4 本章小結(jié) 24
第6章 總結(jié)與展望 25
6.1 全文總結(jié) 25
6.2不足點 25
6.3 展望 25
6.4 本章小結(jié) 26
致謝 27
參考文獻(xiàn) 28

摘要

 幾何畸變校正是數(shù)字圖像處理中的重要內(nèi)容。對存在著幾何畸變的圖像進(jìn)行檢測和定量分析之前, 必須消除這些畸變。光學(xué)成像系統(tǒng)非線性幾何畸變的校正仍是一個未能很好解決的課題, 一些方法還不能很好地實用。本文對短焦距成像系統(tǒng)的失常導(dǎo)致的非線性幾何畸變, 分析了成像過程。本文介紹一種工程校正方法, 對短焦距攝像機(jī)鏡頭的畸變進(jìn)行數(shù)字校正，先建立鏡頭畸變模型，找出徑向畸變的算法，利用光學(xué)成像的基本規(guī)律對原始圖像進(jìn)行修正，找出具體的校正方法，能算出關(guān)鍵點k1和k2的值，最后用實現(xiàn)過程在VC++環(huán)境下進(jìn)行，對程序加以調(diào)試。實驗結(jié)果表明, 該方法具有簡單、實用的特點。

關(guān)鍵詞:  短焦距，徑向畸變, 幾何畸變, 幾何校正

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