| 基于空间子区一致性的异源图像匹配方法 |
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| 引用本文： | 李壮,杨夏,雷志辉.基于空间子区一致性的异源图像匹配方法[J].国防科技大学学报,2011,33(1):31-34. |
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| 作者姓名： | 李壮 杨夏 雷志辉 |
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| 作者单位： | 国防科技大学航天与材料工程学院; |
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| 基金项目： | 国家高技术研究发展计划资助项目(2007AA12Z121) |
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| 摘 要： | 提出一种基于空间子区一致性的异源图像匹配方法.该方法中,将图像划分为许多大小相同的子区;分别计算邻近子区间的灰度直方图距离,得到一种图像结构特征描述--似邻矩阵;利用似邻矩阵计算图像间的子区一致性;采用改进的搜索策略,快速获得匹配结果.实验结果表明,该方法在正确率和计算时间方面均优于传统方法.
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| 关 键 词： | 图像处理 图像匹配 似邻矩阵 子区一致性 异源图像 |
| 收稿时间： | 2010/9/13 0:00:00 |
Multi-sensor Image Matching Based on Spatial Sub-area Congruency |
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| LI Zhuang,YANG Xia and LEI Zhihui.Multi-sensor Image Matching Based on Spatial Sub-area Congruency[J].Journal of National University of Defense Technology,2011,33(1):31-34. |
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| Authors: | LI Zhuang YANG Xia and LEI Zhihui |
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| Institution: | LI Zhuang,YANG Xia,LEI Zhi-hui(College of Aerospace and Material Engineering,National Univ.of Defense Technology,Changsha 410073,China) |
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| Abstract: | A novel multi-sensor image matching method based on spatial sub-area congruency is proposed.In this method,images were segmented into sub-areas with same size.The structure feature represented by matrix of surrounding similarity was obtained by calculating the similarity of intensity histogram of each pair of adjacent sub-areas,and was used to compute spatial sub-area congruency.Through employing optimized searching algorithm,the matching result was acquired.Experimental results show that the proposed metho... |
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| Keywords: | image processing image matching matrix of surrounding similarity sub-area congruency multi-sensor images |
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