| 基于改进SURF的快速图像配准算法 |
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| 引用本文： | 胡旻涛,彭勇,徐赟.基于改进SURF的快速图像配准算法[J].传感器与微系统,2017,36(11). |
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| 作者姓名： | 胡旻涛 彭勇 徐赟 |
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| 作者单位： | 江南大学物联网工程学院,江苏无锡,214122 |
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| 基金项目： | 江苏省交通运输厅资助项目 |
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| 摘 要： | 针对传统加速鲁棒特征(SURF)匹配算法存在实时性不高,误匹配等问题,提出了基于改进SURF特征提取快速的图像配准算法.利用快速黑塞(Hessian)矩阵提取图像特征点,根据图像熵信息对特征点进行筛选,采用改进的快速近邻搜索算法进行特征匹配,到用随机抽样一致(RANSAC)算法剔除误匹配对.实验表明:改进后的算法有效改善了匹配效率,提高了匹配准确度.
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| 关 键 词： | 加速鲁棒特征 图像熵 最近邻搜索 图像配准 |
Fast image matching algorithm based on improved SURF |
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| HU Min-tao,PENG Yong,XU Yun.Fast image matching algorithm based on improved SURF[J].Transducer and Microsystem Technology,2017,36(11). |
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| Authors: | HU Min-tao PENG Yong XU Yun |
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| Abstract: | Aiming at problem of poor real-time and false matching of images matching algorithm based on speed up robust features (SURF),present an images matching algorithm based on improved SURF. Features point of image is extracted by using the Fast-Hessian matrix. Features point is sifting by image entropy information. RANSAC algorithm is used to exclude mistake matching pair. The experiments show that this algorithm improves matching efficiency,and improve matching accuracy. |
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| Keywords: | speed up robust features(SURF) image entropy nearest neighbor search image matching |
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