CAJ | 학술논문

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。
이원도상필배기술구유시각궤리연구화공정실제응용적쌍중개치。이도상분할시일충제취도상특정적유효수단，단유우이원도상적특성，분할산법재이원도상상난이득도일치특정。본문제출료분할상사도적개념，재윤허분할존재차이적조건하형량량충분할적상사정도，종이실현이원도상적필배。최후통과가견광여홍외도상필배실험증명료산법적유효성。
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.