Traditional methods for edge detection are more sensitive to noises.

传统的边缘检测方法对噪声都比较敏感。

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Then, mutual recognition about the peaks of BGH between neighboring blocks is implemented so that the edge is not sensitive to the gradient intensity.

然后，通过相邻块内部的梯度峰值的互确认操作，得到对梯度强弱不敏感的边缘，从而能够获得图像中更多的特征信息。

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An improved algorithm for the image edge detection based on Sobel algorithm was proposed to overcome the disadvantages, which the obtained edges of the image is thick and sensitive to the noise.

针对该算法存在检测出的边缘粗且对噪声极其敏感的缺点，提出了一种改进算法。

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