摘要
针对多幅图像之间的图像配准问题,该文提出了一种新的图像自动配准算法。该算法应用Harris角点检测方法获得角点信息。在匹配过程中,采用圆形区域和双向相关系数法进行相似性度量。采用圆形区域,很好的解决了旋转问题;采用双向相关系数法,更加保证了匹配的精确度,减少误匹配率。初步实验结果表明:该方法可以高效短时地实现图像间的自动配准。
For the problem of image registration among multiple images,a new automatic image registration algorithm is described in this paper. The algorithm uses Harris correr detection method obtaining comers information. Using a circular area and the method of bidirectional correlative coefficient measures the similarity of the images in the matching process. The use of a circular area is a wonderful solution to the issue of rotation;the use of the method of bidirectional correlative coefficient, more ensure the accuracy of the match, reduce the rate of false match. Preliminary experimental results show that: the method can implement the automatic registration among images highly effective and short-tenn.
出处
《科技通报》
北大核心
2010年第2期269-272,共4页
Bulletin of Science and Technology
关键词
图像配准
角点
圆形区域
旋转问题
双向相关系数
image registration
Correr
circular area
rotation problem
bidirectional correlative coefficient