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Image edge detection based on statistical features

机译:基于统计特征的图像边缘检测

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摘要

Classical edge detection method has great limitation, because the noise contained in the image has significant influence on the results, while the speed of edge detection and whether the edge can be detected or not are also the concerned problems. This paper proposed two edge detection methods based on the statistical features, which can accurately detect the edges and suppress the impact of the noise on the results, while the edge has a good consistency. Extensive testing results have shown great potential on our novel method.
机译:传统的边缘检测方法有很大的局限性,因为图像中包含的噪声对结果有很大影响,而边缘检测的速度以及是否可以检测边缘也是关注的问题。本文提出了两种基于统计特征的边缘检测方法,它们可以准确地检测边缘并抑制噪声对结果的影响,同时边缘具有良好的一致性。大量的测试结果显示了我们新颖方法的巨大潜力。

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