本文關(guān)鍵詞：基于RTCam攝像機模型的桶形失真校正研究　出處：《西安電子科技大學》2014年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 桶形失真 圖像校正 RTCam攝像機模型 曲線擬合

【摘要】：空間視覺系統(tǒng)是宇宙空間探測的關(guān)鍵設(shè)備之一,對于系統(tǒng)中的每一臺攝像機,其在成像過程中都需要建立自己的空間模型對空間圖像進行采集,多個攝像機聯(lián)合探索完成任務(wù)時,各自獨立的空間模型必須拼接成為完整的經(jīng)過修正的統(tǒng)一的空問模型。針對不同攝像機的成像模型需要統(tǒng)一建模的問題,英圍科學家提出了Rational-Tensor攝像機模型(簡稱為RTCam攝像機模型),建立了不同類型的非線性攝像機模型的統(tǒng)一約束關(guān)系以及幾何框架。本文將RTCam攝像機模型應(yīng)用于圖像桶形失真的校正,利用基于RTCam攝像機模型的桶形失真校正算法,對存在嚴重桶形失真的圖像進行校正,并對校正精度進行了定量分析。首先,對普通鏡頭采集的無失真圖像進行RTCam變換,得到無失真圖像的存在嚴重桶形失真的圖像,對桶形失真圖像計算校正參數(shù)S因子的值,利用基于RTCam攝像機模型的桶形失真校正算法對桶形失真圖像進行校正,通過對失真前和校正后的特定直線進行擬合,對比擬合的誤差參數(shù)說明本算法可以將發(fā)生嚴重桶形失真現(xiàn)象的曲線校正成為直線,并對比直線擬合的一次項系數(shù)和常數(shù)項的值說明校正后該直線與失真前相比在圖像平面沒有發(fā)生偏移,從而證明了算法可以高精度的校正存在嚴重桶形失真的圖像；然后,利用基于RTCam攝像機模型的桶形失真校正算法對廣角鏡頭采集的存在嚴重桶形失真的圖像序列進行校正,對校正后的圖像中的特定直線進行擬合,對比擬合的誤差參數(shù)說明本算法的直線擬合誤差低于傳統(tǒng)的基于多項式模型的桶形失真校正算法,從而定量的說明了與傳統(tǒng)的桶形失真校正算法相比,本算法具有更高的校正精度。
[Abstract]:Space vision system is one of the key equipment for space exploration. For every camera in the system, it is necessary to build its own space model to collect the space image in the imaging process. When multiple cameras jointly explore and complete the task, each independent space model must be stitched into a complete revised unified spatial model. The problem of unified modeling is needed for different camera imaging models. The Rational-Tensor camera model (referred to as the RTCam camera model) was proposed by Yingwei scientists. The unified constraint relation and geometric framework of different nonlinear camera models are established. In this paper, the RTCam camera model is applied to the correction of image barrel distortion. The barrel distortion correction algorithm based on RTCam camera model is used to correct the image with serious barrel distortion, and the correction accuracy is analyzed quantitatively. The RTCam transform is carried out on the undistorted image collected by the common lens, and the image with serious barrel distortion is obtained. The correction parameter S factor is calculated for the barrel-distortion image. The barrel distortion correction algorithm based on RTCam camera model is used to correct the barrel distortion image, and the special straight lines before and after correction are fitted. The comparison of fitting error parameters shows that this algorithm can correct the curve with serious barrel distortion into a straight line. By comparing the coefficient of the first term and the constant term of the straight line fitting, the correction shows that the line has no deviation in the image plane compared with that before the distortion. It is proved that the algorithm can correct the image with high accuracy. Then, the bucket distortion correction algorithm based on RTCam camera model is used to correct the image sequence which has serious bucket distortion, and the special straight line in the corrected image is fitted. The comparison of fitting error parameters shows that the linear fitting error of this algorithm is lower than that of the traditional bucket distortion correction algorithm based on polynomial model, which shows the quantitative comparison with the traditional bucket distortion correction algorithm. This algorithm has higher correction accuracy.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN948.41;TP391.41

【相似文獻】

相關(guān)期刊論文 前1條

1 王雷;郭健;陳英革;王小英;;圖像桶形失真的一種校正方法[J];常熟理工學院學報;2007年04期

相關(guān)碩士學位論文 前1條

1 康越;基于RTCam攝像機模型的桶形失真校正研究[D];西安電子科技大學;2014年

，

本文編號：1399159