图像间距离

[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation Pub Date : 1992-10-19 DOI:10.1109/FMPC.1992.234956

J. A. Gualtieri, J. Le Moigne, C. V. Packer

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引用次数: 12

摘要

作者比较了计算二值图像间豪斯多夫距离近似的两种方法。他们还实现了其中一种方法的并行视觉，它可以提供快速的图像距离算法来校准执行图像识别、图像压缩或图像浏览等任务的算法。为此，他们展示了一个简单的应用程序，选择区域增长算法的最佳迭代，该算法通过将边缘图像与Canny边缘检测器进行比较来产生边缘图像

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Distance between images

The authors compare two methods which compute an approximation to the Hausdorff distance between pairs of binary images. They also implement a parallel vision of one of the methods, which can provide a fast image distance algorithm to calibrate algorithms performing such tasks as image recognition, image compression, or image browsing. For this purpose, they have shown a simple application of selecting the best iteration of a region growing algorithm which yields edge images by comparing them to a Canny edge detector.<>

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[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation

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