采用黎曼度量的Hausdorff距离及其在图像匹配中的应用
Hausdorff distance based on Riemannian metric and its application in image matching
查看参考文献15篇
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文摘
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现有的基于Hausdorff距离的边缘图像匹配利用边缘的位置信息, 忽视了边缘的其他有用信息. 为了提高基于边缘的图像匹配的鲁棒性, 提出了一种基于黎曼度量的Hausdorff距离(RM -HD)图像匹配算法. 通过边缘点的灰度和附近梯度信息构造了边缘结构张量, 由于结构张量具有流形结构, 采用流形的测地距离来度量边缘结构张量的距离, 用其对Hausdorff距离进行加权, 设计了图像匹配算法. 分别用可见光和红外图像进行实验, 结果表明: RM -HD算法在匹配准确性、抵抗噪声干扰、光照变化等方面性能良好 |
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其他语种文摘
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The existing Hausdorff distance based image matching method mainly uses the location of edges, ignoring other useful information of edge. In order to improve the robustness of edge-based image matching, a new method of image matching based on Hausdorff distance of Riemannian metric (RM-HD) was proposed. The edge structure tensor was constructed by intensity feature and edge gradient, since the structure tensor possessed a Riemannian manifold, the distance between structure tensors was measured by the geodesic distance on Riemannian manifold. Then, the HD was weighted by the structure tensors. Finally, a image matching algorithm based on RM-HD was designed. Experimental results on visible images and infrared image show that the proposed RM-HD possesses good performance in terms of matching accuracy, robustness to random noise and illumination |
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来源
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红外与激光工程
,2011,40(2):365-369 【核心库】
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关键词
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图像匹配
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Hausdorff距离
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边缘结构
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结构张量
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黎曼度量
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地址
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中国科学院沈阳自动化研究所, 辽宁, 沈阳, 110016
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-2276 |
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学科
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自动化技术、计算机技术 |
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基金
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中国科学院国防科技创新基金
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文献收藏号
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CSCD:4147204
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参考文献 共
15
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