A Similarity Metric for Edge Images
A Similarity Metric for Edge Images
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DOI：
10.1109/tpami.2003.1233900
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发表时间：
2003-10
期刊：
影响因子：
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通讯作者：
Miguel Segui Prieto;A. Allen
中科院分区：
文献类型：
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作者：
Miguel Segui Prieto;A. Allen
分析了几种边缘图像比较的差异性度量的性能，提出了一种新的相似性度量，旨在克服它们的问题。该算法找到一个最佳匹配的图像之间的像素，并估计由这种匹配产生的误差。所得到的像素对应度量（PCM）可以考虑到边缘强度以及边缘像素位置的位移在相似性估计。一系列的实验测试表明，新的度量是一个强大的和有效的工具，在比较的边缘图像时，检测到的边缘定位误差是允许的。
The performance of several discrepancy measures for the comparison of edge images is analyzed and a novel similarity metric aimed at overcoming their problems is proposed. The algorithm finds an optimal matching of the pixels between the images and estimates the error produced by this matching. The resulting Pixel Correspondence Metric (PCM) can take into account edge strength as well as the displacement of edge pixel positions in the estimation of similarity. A series of experimental tests shows the new metric to be a robust and effective tool in the comparison of edge images when a small localization error of the detected edges is allowed.