文件名称:Angle-point-image-registration
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- 上传时间:2012-11-16
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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。-Image registration problem between multiple images of the paper, a new automatic image registration algorithm. The algorithm is applied Harris corner detection method corner. In the matching process. Round regional and bi-directional correlation coefficient method to measure the similarity. Circular area, a good solution to the rotation problem using the the bidirectional correlation coefficient method, more to ensure the accuracy of the match to reduce the rate of false matching. The preliminary experimental results show that: The method is to achieve the automatic alignment between the images can be efficiently short.
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。-Image registration problem between multiple images of the paper, a new automatic image registration algorithm. The algorithm is applied Harris corner detection method corner. In the matching process. Round regional and bi-directional correlation coefficient method to measure the similarity. Circular area, a good solution to the rotation problem using the the bidirectional correlation coefficient method, more to ensure the accuracy of the match to reduce the rate of false matching. The preliminary experimental results show that: The method is to achieve the automatic alignment between the images can be efficiently short.
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一种基于角点特征的图像自动配准方法.pdf
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