一种基于曲线拟合的柱面图像匹配算法
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天津大学电子信息工程学院天津300072

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TP391

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Cylindrical image matching algorithm based on curve fitting
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School of Electronic Information Engineering, Tianjin University,Tianjin 300072,China

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    摘要:

    传统的RANSAC误匹配剔除算法对柱面图像误匹配剔除效果较差,为了解决这一问题,提出一种基于曲线拟合的误匹配剔除算法。首先对两幅图像进行SURF特征提取并采用最近邻匹配法进行粗匹配,然后将匹配点对集合按照所在列数的大小进行排序,最后将每个匹配点对两个特征点所确定的直线的斜率集合、欧式距离集合分别进行曲线拟合从而剔除误匹配。实验证明,提出的基于曲线拟合的图像匹配算法明显增加了剔除误匹配后靠近柱面图像边缘部分的匹配点数量,提高了柱面图像匹配的精度。

    Abstract:

    The traditional mismatching eliminating method RANSAC has poor performance when used for the mismatching eliminating of the cylindrical images. A mismatching eliminating algorithm based on curve fitting was proposed in this paper in order to solve this problem. First, SURF features were extracted from two images and were matched using the nearest neighbor method. Then, the matching point set was sorted by ordinal position. At last, the slope set and the Euclidean distance set of the lines build by every two matched feature points were done curve fitting respectively to remove the mismatching points. Experiments show that the proposed method has improved the matching point set number close to the edge of the cylinder after removing, and improved the precision of cylindrical matching obviously

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田健飞.一种基于曲线拟合的柱面图像匹配算法[J].电子测量技术,2016,39(2):61-63

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  • 在线发布日期: 2016-04-20
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