一维最小误差阈值法假设了目标和背景的灰度分布服从混合正态分布。
One-dimensional minimum error thresholding method assumed that the histogram distributions of object and background are governed by a mixture Gaussian distribution.
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。
Using minimum error method. Which belongs the global threshold, to attain binary image, so that background and object are distinguished.
仿真实验显示：无论是信噪比还是最小平方误差，改进的软阈值函数比其它三种改进的阈值函数的效果都要好一些。
Simulations show that the improved soft-thresholding function is obviously better than the other three improved thresholding functions in terms of SNR and MSE.
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