This algorithm can mark the edge of bubble better than common ones, and it can remove false edges.
此算法较常见的边缘检测算法更好地标记出了轮胎气泡的边缘图像，滤除了图像中的伪边缘。
For SAR image waters edge detection, the traditional algorithm can not suppress speckle noise, so there are many false edges in the results.
SAR图像水域边缘检测中，传统算法由于不能较好地克服斑点噪声影响，因此检测出的虚假边缘较多。
To ensure the location accuracy of edge and minimize false edge points produced by noise and uneven gray scale in image is a difficult problem for edge detection.
如何在确保边缘精确定位的同时，最大程度地抑制噪声以及图像灰度不均匀所产生的伪边缘点，是当前边缘检测所面临的难题。
We derive the analytic expressions of false alarm probabilities under clutter edge situation, analyse its performances against clutter edge, and compare it with the GO, OS and CA-CFAR detectors.
文中推导出了它在干扰边缘环境中虚警概率的解析表达式，分析了它抗边缘干扰的性能，并且与GO、OS和CA - CFAR检测器进行了比较。
Propose a algorithm on how to delete the false points exist at the edge of fingerprint image by using the values of local variance.
针对指纹特征提取后出现的大量边界伪特征点，研究了一种利用局部方差的大小作为阀值滤除伪点的算法。
A false target criterion is introduced to distinguish between potential false objects and true beacon which based on the closed curve fitting of image edge.
提出一种基于图像边缘闭曲线拟合的虚警判据，能对潜在假目标进行准确的识别判断。
A false target criterion is introduced to distinguish between potential false objects and true beacon which based on the closed curve fitting of image edge.
提出一种基于图像边缘闭曲线拟合的虚警判据，能对潜在假目标进行准确的识别判断。
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