Using minimum error method. Which belongs the global threshold, to attain binary image, so that background and object are distinguished.

采用全局阈值中的最小误差方法对图像进行二值化，以区别开背景和目标。

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The principles of global threshold and dynamic threshold and the proposed image segmentation method are presented and the image processing results are compared.

介绍了全局阈值法、动态阈值法、全局阈值结合动态阈值法的算法原理，并比较了以上三种方法的缺陷分割效果。

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Compared with the fixed threshold and the global threshold algorithms, the proposed method obtains better detection effects for clouds in small, broken bits and weak contrast clouds.

与固定阈值和全局阈值算法相比，局部阈值插值算法对一些细碎的云和与背景反差不大的云获得了更好的检测效果。

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Compared with the fixed threshold and the global threshold algorithms, the proposed method obtains better detection effects for clouds in small, broken bits and weak contrast clouds.

与固定阈值和全局阈值算法相比，局部阈值插值算法对一些细碎的云和与背景反差不大的云获得了更好的检测效果。

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