文件名称:imagemosic
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针对基于图像特征点的配准方法中对应特征对难以准确提取的问题,提出一种基于兴趣
点匹配的图像自动拼接方法。该方法首先利用Harris角检测器提取两幅图像中的兴趣点,并在此基
础上采用比较最大值法提取出对应兴趣点特征对,最后利用这些匹配特征对来实现图像的拼接。实
验结果表明,这种方法能有效地去除伪匹配特征对的干扰,同时降低了误匹配的概率-Feature points for image-based registration method of the corresponding characteristics of the problem difficult to accurately extract and put forward a point of interest-based image matching method of automatic splicing. This method is the first to use Harris angle detector extract two images in the interest of points, and based on this law was adopted to extract the maximum value corresponds to points of interest characteristics of the final use of these matching characteristics of images to achieve splicing. The experimental results show that this method can effectively remove the pseudo-matching characteristics of the interference, while reducing the probability of false matches
点匹配的图像自动拼接方法。该方法首先利用Harris角检测器提取两幅图像中的兴趣点,并在此基
础上采用比较最大值法提取出对应兴趣点特征对,最后利用这些匹配特征对来实现图像的拼接。实
验结果表明,这种方法能有效地去除伪匹配特征对的干扰,同时降低了误匹配的概率-Feature points for image-based registration method of the corresponding characteristics of the problem difficult to accurately extract and put forward a point of interest-based image matching method of automatic splicing. This method is the first to use Harris angle detector extract two images in the interest of points, and based on this law was adopted to extract the maximum value corresponds to points of interest characteristics of the final use of these matching characteristics of images to achieve splicing. The experimental results show that this method can effectively remove the pseudo-matching characteristics of the interference, while reducing the probability of false matches
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图像拼接技术研究.nh
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