| 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.[点击复制] |
| LI Zhuang,YANG Xia,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[点击复制] |
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| 基于空间子区一致性的异源图像匹配方法 |
| 李壮, 杨夏, 雷志辉 |
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(国防科技大学 航天与材料工程学院，湖南 长沙 410073)
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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。 |
| 关键词: 图像处理 图像匹配 似邻矩阵 子区一致性 异源图像 |
| DOI： |
| 投稿日期：2010-09-13 |
| 基金项目:国家高技术研究发展计划资助项目(2007AA12Z121) |
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| Multi-sensor Image Matching Based on Spatial Sub-area Congruency |
| LI Zhuang, YANG Xia, LEI Zhihui |
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(College of Aerospace and Materials 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 method can match multi-sensor images stably and fast and outperforms conventional methods |
| Keywords: image processing image matching matrix of surrounding similarity sub-area congruency multi-sensor images |
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