| 引用本文: | 徐一丹,李斌,李壮,等.空间关联与多子区规范化梯度方向直方图的
异源图像匹配.[J].国防科技大学学报,2014,36(4):112-117.[点击复制] |
| XU Yidan,LI Bin,LI Zhuang,et al.Multi-sensor images registration using multi areas standardized histogram of oriented gradient and spatial adjacent similarity[J].Journal of National University of Defense Technology,2014,36(4):112-117[点击复制] |
|
| |
|
|
| 本文已被：浏览 8221次 下载 6691次 |
| 空间关联与多子区规范化梯度方向直方图的
异源图像匹配 |
| 徐一丹1, 李斌2, 李壮1, 杨夏1 |
|
(1.国防科技大学 航天科学与工程学院，湖南 长沙 410073;2.二炮驻成都代表室，四川 成都 610000)
|
| 摘要: |
| 提出一种基于稀疏空域分割与梯度方向直方图的异源图像匹配方法。将图像分为多个子区，计算每个子区的梯度方向直方图；计算直方图的汇聚度，并根据汇聚度计算直方图相似性；采用两步搜索法，寻找与基准图中与实时图直方图相似度最高的窗口即为正确匹配结果。采用仿真图和真实异源图像对算法进行了测试，结果表明，这种方法能够可靠快速实现异源图像匹配。 |
| 关键词: 图像处理 图像匹配 梯度方向 直方图 异源图像 多子区 |
| DOI：10.11887/j.cn.201404019 |
| 投稿日期：2013-01-06 |
| 基金项目:国家高技术研究发展计划（863）项目（2007AA12Z121） |
|
| Multi-sensor images registration using multi areas standardized histogram of oriented gradient and spatial adjacent similarity |
| XU Yidan1, LI Bin2, LI Zhuang1, YANG Xia1 |
|
(1.College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073，China;2.The Second Artileny in Chengdu Agent’s Room,Chengdu 610000, China)
|
| Abstract: |
| Multi-sensor images matching method based on multi-area histogram of oriented gradient is proposed. Firstly, the images were segmented into some sub-areas. Secondly, histogram of oriented gradient was calculated for every subregion. Then, the histograms similarity was computed with convergence degree as power. In the end, through two-step searching, the histogram with the highest similarity was found and the corresponding image was the matching result. The algorithm was tested using emulational images and real multi-sensor images. Experimental results showed that the new matching algorithm can match multi-sensor images effectively and efficiently. |
| Keywords: image processing image matching oriented gradient histogram multi-sensor images multi-areas |
|
|
