Mixture Gaussian model is one of background subtraction methods.
混合高斯模型是背景对消中一种非常有效的方法。
One-dimensional minimum error thresholding method assumed that the histogram distributions of object and background are governed by a mixture Gaussian distribution.
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。
It is obtained that Gaussian mixture noise can improve the information transmission through the array.
在高斯混合噪音下计算了单门限系统和门限阵列的互信息量。
应用推荐