由网友(馋鬼)分享简介：我有一个（3D）的直方图，我想申请高斯平滑的：I have a (3D) Histogram which I like to apply Gaussian smoothing on:cv::MatND Hist;在一维和二维情况下，我通过对其进行模糊处理：In the 1D and 2D cases I blur...

我有一个（3D）的直方图，我想申请高斯平滑的：

I have a (3D) Histogram which I like to apply Gaussian smoothing on:

cv::MatND Hist;

在一维和二维情况下，我通过对其进行模糊处理：

In the 1D and 2D cases I blur it via:

cv::GaussianBlur(Hist, Hist, cv::Size(1,3), 1.0);// 1D case
cv::GaussianBlur(Hist, Hist, cv::Size(3,3), 1.0);// 2D case

不过，我很难申请高斯模糊在3D情况。

But I struggle to apply Gaussian blurring in the 3D case.

有没有人有一个想法如何尝试呢？

Has anyone got an idea how to attempt this?

推荐答案

尝试使用可分离的内核像如下所示： 的http://www.programming-techniques.com/2013/03/gaussian-blurring-using-separable.html

Try use separable kernels like shown here: http://www.programming-techniques.com/2013/03/gaussian-blurring-using-separable.html