CAJ | 학술논문

图像拼接技术能够很好地解决单张拍摄照片的视野狭窄问题，是数字图像处理的一个重要分支。其一般步骤是先粗匹配，后提纯，然而在用随机抽样一致性算法（ random sample consensus ， RANSAC）提纯时，将粗匹配的所有特征点对都进行迭代运算，运算量较大，导致拼接速度慢。针对该问题，文中采用了ORB（ oriented FAST and rotated BRIEF ）算法，并结合空间一致性检测理论来改进RANSAC算法，以提高拼接速度。文中采用ORB算法提取特征点，并进行粗匹配；在RANSAC提纯之前，先进行一次空间一致性检测，从而缩小RANSAC抽样总量，减少迭代次数。分别用ORB+改进RANSAC算法和ORB+RANSAC算法对两组图片进行对比实验，实验表明，ORB和改进RANSAC算法的结合在保证匹配精度的基础上提高了匹配速度。
도상병접기술능구흔호지해결단장박섭조편적시야협착문제，시수자도상처리적일개중요분지。기일반보취시선조필배，후제순，연이재용수궤추양일치성산법（ random sample consensus ， RANSAC）제순시，장조필배적소유특정점대도진행질대운산，운산량교대，도치병접속도만。침대해문제，문중채용료ORB（ oriented FAST and rotated BRIEF ）산법，병결합공간일치성검측이론래개진RANSAC산법，이제고병접속도。문중채용ORB산법제취특정점，병진행조필배；재RANSAC제순지전，선진행일차공간일치성검측，종이축소RANSAC추양총량，감소질대차수。분별용ORB+개진RANSAC산법화ORB+RANSAC산법대량조도편진행대비실험，실험표명，ORB화개진RANSAC산법적결합재보증필배정도적기출상제고료필배속도。
Image stitching technology can better solve confined vision of a single photograph , which is an impor-tant branch in the field of digital image processing .The general image stitching steps are coarse matching and then purification , however , RANSAC ( random sample consensus ) algorithm has large amount of computation , lower efficiency problem when going on point-purification .This paper uses ORB ( oriented FAST and rotated BRIEF) algorithm and spatial consistency check theory for improving RANSAC algorithm in order to improve stitching speed .This paper uses ORB algorithm to extract feature points and carry out coarse matching .Before RANSAC purifying , this paper uses spatial consistency check theory to reduce the amount of RANSAC sampling and decrease the number of iterations .With two pairs of images ,this paper adopts ORB +improved RANSAC and ORB+RANSAC algorithm to have a purification experience .Experiments show that ORB combined with im-proved RANSAC algorithm can increase the matching speed and guarantee matching accuracy .