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一种基于角点特征的图像自动配准方法

A Method of Image Automatic Registration Based on the Characteristics of the Image’s Corners
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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
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参考文献9

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