文件名称:image-matching--
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首先对图像
进行高斯和 Wallis 滤波处理，然后采用简化 SIFT 算法进行特征点提取，最后通过特征点双向
匹配方法实现图像的精确匹配。通过对缺陷版图图像的试验验证了该方法具有匹配点数量
多、准确率高、无重复点等优点。-First of all Gaussian image filtering and Wallis and simplified SIFT feature point extraction algorithm, and finally through the feature point matching method for image bidirectional exact match. Through the territory of the defect images experiment show that the method has a matching point quantity, high accuracy, without repeating points, and so on.
进行高斯和 Wallis 滤波处理，然后采用简化 SIFT 算法进行特征点提取，最后通过特征点双向
匹配方法实现图像的精确匹配。通过对缺陷版图图像的试验验证了该方法具有匹配点数量
多、准确率高、无重复点等优点。-First of all Gaussian image filtering and Wallis and simplified SIFT feature point extraction algorithm, and finally through the feature point matching method for image bidirectional exact match. Through the territory of the defect images experiment show that the method has a matching point quantity, high accuracy, without repeating points, and so on.
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下载文件列表
基于SIFT算法的图像匹配方法 汪松.caj