| 引用本文: | 李想,雷志辉,朱宪伟,等.基于分割相似度的异源图像匹配算法.[J].国防科技大学学报,2013,35(6):116-119.[点击复制] |
| LI Xiang,LEI Zhihui,ZHU Xianwei,et al.Multi-sensor image matching based on segmentation similarity[J].Journal of National University of Defense Technology,2013,35(6):116-119[点击复制] |
|
| |
|
|
| 本文已被：浏览 7756次 下载 6934次 |
| 基于分割相似度的异源图像匹配算法 |
|
|
(1.国防科技大学 航天科学与工程学院，湖南 长沙 410073;2.
2.北京航天飞行控制中心，北京 100094;3.
3.图像测量与视觉导航湖南省重点实验室，湖南 长沙 410073)
|
| 摘要: |
| 异源图像匹配技术具有视觉机理研究和工程实际应用的双重价值。而图像分割是一种提取图像特征的有效手段，但由于异源图像的特性，分割算法在异源图像上难以得到一致特征。本文提出了分割相似度的概念，在允许分割存在差异的条件下衡量两种分割的相似程度，从而实现异源图像的匹配。最后通过可见光与红外图像匹配实验证明了算法的有效性。 |
| 关键词: 异源图像 图像匹配 图像分割 |
| DOI： |
| 投稿日期：2013-04-08 |
| 基金项目:国家重点基础研究发展计划资助项目；
航天飞行动力学技术重点实验室开放基金资助项目（2012afdl041） |
|
| Multi-sensor image matching based on segmentation similarity |
| LI Xiang1,2,3, LEI Zhihui1,4, ZHU Xianwei1,4, YUAN Yun1,4, YU Qifeng1,4 |
|
(1.College of Aerospace Science and Engineering，National University
of Defense Technology，Changsha 410073 China;2.
2.Beijing Aerospace Control Center, Beijing 100094，China;3.
3.Hunan Key Laboratory of Videometrics and Vision Navigation, Changsha 410073,China;4.3.Hunan Key Laboratory of Videometrics and Vision Navigation, Changsha 410073,China)
|
| Abstract: |
| Multi-sensor image matching is meritorious both in vision mechanism studies and vision engineering. Image segmenting is an effective method for abstracting image properties, but due to the features of images with different sources, the image segmenting method cannot guarantee agreeable image properties from different sources. With a view to this problem, a method is proposed by segmenting the multi-sensor images before the matching strategy is used. Two matching strategy, the segmentation similarity and the minimal edges, can detect the right match. Matching experiments between optic and infrared images demonstrate its effectiveness. |
| Keywords: multi-sensor image image matching image segmentation |
|
|
|
|
|
