针对图像采集与通信过程中经常遇到的脉冲噪声问题，提出基于远程相关性的脉冲噪声消除方法。

Impulse noises are often encountered in image acquisition and communication. We present an impulse noise removal method using long range correlation.

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该方法首先进行中值滤波消除图像脉冲噪声，然后计算图像局部熵进行阈值选择提取目标边缘，最后进行边缘连接分割出目标区域。

The method eliminates impulse noises by median filtering then extracts edges by Otsu's thresholding based on local entropy of image, connects discrete edges and detects objects regions.

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模糊脉冲噪声检测器用窗口内的中值与邻近像素信息来检测脉冲噪声，而脉冲消除器用最小最大值算法计算噪声像素的估计值。

The fuzzy impulse noise detector USES the median value and neighborhood information in the window to detects impulse noise. The impulse noise canceller USES minimum-maximum estimate method.

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