CAJ | 학술논문

针对机器视觉检测和高精度图像测景中使用的CCD镜头都存在不同程度光学畸变的问题,提出基于混合模型的CCD镜头畸变校正算法.甩经典模型对畸变图像进行初次校正,用多面函数拟合法进行二次精校正,用三次B样条函数进行灰度重建.实验结果表明,该方法在不依赖摄像机内部参数条件下,相比单一的镜头畸变校正模型,精度提高,鲁棒性增强,校正后径向均方根误差为0.3个像素.
침대궤기시각검측화고정도도상측경중사용적CCD경두도존재불동정도광학기변적문제,제출기우혼합모형적CCD경두기변교정산법.솔경전모형대기변도상진행초차교정,용다면함수의합법진행이차정교정,용삼차B양조함수진행회도중건.실험결과표명,해방법재불의뢰섭상궤내부삼수조건하,상비단일적경두기변교정모형,정도제고,로봉성증강,교정후경향균방근오차위0.3개상소.
According to the different degree distortion of CCD lens used in machine visual detection and high precision measurement, this paper proposes a combined model-based for CCD lens distortion correction. The algorithm uses the classical model to correct the distortion image initially,the polyhedral function is employed for second high precision correction, and cubic B spline function is used for grade rebuilding. Experimental results indicate that the algorithm can promote the precision and strengthen the robustness compared with other single lens distortion correction model, and the radial correction RMS is 0.3 pixel.