| 基于SUSAN特征点的图像配准算法 |
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| 引用本文： | 纪利娥,石继升.基于SUSAN特征点的图像配准算法[J].传感器世界,2013,19(4):7-9,32. |
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| 作者姓名： | 纪利娥 石继升 |
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| 作者单位： | 中北大学信息与通信工程学院,山西太原,030051;中北大学信息与通信工程学院,山西太原,030051 |
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| 摘 要： | 提出了一种基于SUSAN算法提取图像特征点并进行图像配准的改进算法。首先采用SUSAN算子对图像进行特征点提取，然后利用最近邻次近邻比值法对特征点进行粗匹配，通过RANSAC（随机抽样一致性）算法剔除错误的匹配点对；最后通过重采样和双线性插值完成图像的配准。实验结果表明，本算法在图像配准中具有一定的有效性。
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| 关 键 词： | 图像配准 SUSAN算法 最近邻次近邻比值法 RANSACA算法 仿射变换 |
Image registration algorithm based on SUSAN feature points |
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| JI Li-e
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SHI Ji-sheng.Image registration algorithm based on SUSAN feature points[J].Sensor World,2013,19(4):7-9,32. |
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| Authors: | JI Li-e SHI Ji-sheng |
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| Affiliation: | (Information and Communication Engineering College, North University of China, Taiyuan 030051, China) |
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| Abstract: | A new image registration algorithm based on SUSAN feature points is proposed in the paper. Firstly the SUSAN features are extracted from the images Then ratio algorithm of the closest neighbor and second closest neighbor is used to complete rough matching of feature points, and the RANSAC algorithnl is applied to remove the false matching points. Finally, the image registration is completed by employing resembling and bilinear interpolation. The experiment results show that the proposed method is well good in image registration, and the validity of the method proposed is proved |
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| Keywords: | image registration SUSAN algorithm theratio algorithm of the closest neighbor and second closestneighbor RANSAC algorithm affine transform |
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