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。
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.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2013年第6期116-119,共4页
Journal of National University of Defense Technology
基金
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)
关键词
异源图像
图像匹配
图像分割
multi-sensor image
image matching
image segmentation
