Robust edge detection in noisy images
Robust edge detection in noisy images
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DOI：
10.1016/j.csda.2004.10.005
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发表时间：
2006-02-10
影响因子：
1.8
通讯作者：
Lim, DH
中科院分区：
文献类型：
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作者：
Lim, DH
我们描述了一种新的基于鲁棒秩序（RRO）测试的边缘检测器，它是一种有用的替代Wilcoxon测试，使用r x r窗口来检测噪声图像中所有可能方向的边缘。我们的方法是基于测试r x r窗口是否被空间划分为两个子区域，在给定像素的相邻像素之间具有显著的局部灰度值差异，使用边缘高度模型从被噪声损坏的图像中提取足够高度的边缘。基于Wilcoxon检验和t检验的统计边缘检测器，以及基于RRO检测器的Canny边缘检测器，在高斯噪声和脉冲噪声的合成图像和真实图像上进行了实验。结果表明，所提出的边缘检测器的性能对噪声的变化表现出最强的鲁棒性，在所有测试的噪声分布中都表现良好。(c) 2004 Elsevier B.V.版权所有
We describe a new edge detector based on the robust rank-order (RRO) test which is a useful alternative to Wilcoxon test, using r x r window for detecting edges of all possible orientations in noisy images. Our method is based on testing whether a r x r window is spatially partitioned into two subregions having significant differences in local gray-level value between adjacent pixel neighborhoods of a given pixel, using an edge-height model to extract edges of some sufficient height from images corrupted with noises. Some experiments of statistical edge detectors based on the Wilcoxon test and T-test, and the well-known Canny edge detector with our RRO detector are carried out on synthetic and real images corrupted by both Gaussian and impulse noise. The results show that the performance of the proposed edge detector appears to be the most robust to variations in noise, performing well in all noise distributions tested. (c) 2004 Elsevier B.V. All rights reserved.