opencv 线性滤波

#include<opencv2/opencv.hpp>

#include<opencv2/core/core.hpp>

#include<opencv2/imgproc/imgproc.hpp>

#include<iostream>

using namespace cv;

using namespace std;

static void on_ContrastAndBright(int ,void*);

int g_nBoxFilterValue = 3;

int g_nMeanBlurValue =3;

int g_nGaussianBlurValue =3;

Mat  g_srcImage,g_dstImage1,g_dstImage2,g_dstImage3;

static void on_BoxFilter(int,void *);

static void on_MeanBlur(int,void *);

static void on_GaussianBlur(int,void*);

int main()

{
g_srcImage = imread("1.jpg");
if(!g_srcImage.data)
{
printf("%s %d\n",__FUNCTION__,__LINE__);
return -1;
}
g_dstImage1 = g_srcImage.clone();
g_dstImage2 = g_srcImage.clone();
g_dstImage3 = g_srcImage.clone();
namedWindow("<1.yuantu>",WINDOW_AUTOSIZE);
imshow("<1.yuantu>",g_srcImage);
/*方框滤波*/
namedWindow("<2.boxfilterpic>",WINDOW_AUTOSIZE);
createTrackbar("g_nBoxFilterValue","<2.boxfilterpic>",&g_nBoxFilterValue,40,on_BoxFilter);
on_BoxFilter(g_nBoxFilterValue,0);

/*均值滤波*/
namedWindow("<3.meanblur>", WINDOW_AUTOSIZE);
createTrackbar("g_nMeanBlurValue","<3.meanblur>",&g_nMeanBlurValue,40,on_MeanBlur);
on_MeanBlur(g_nMeanBlurValue,0);

/*高斯滤波*/
namedWindow("<4.GaussianBlur",WINDOW_AUTOSIZE);
createTrackbar("g_nGaussianBlurValue","<4.GaussianBlur",&g_nGaussianBlurValue,40,on_GaussianBlur);
on_GaussianBlur(g_nGaussianBlurValue,0);
waitKey(0);

}

static void on_BoxFilter(int ,void*)

{
boxFilter(g_srcImage,g_dstImage1,-1,Size(g_nBoxFilterValue+1,g_nBoxFilterValue=1));
imshow("<2.boxfilterpic>",g_dstImage1);

}

static void on_MeanBlur(int,void *)

{
blur(g_srcImage,g_dstImage2,Size(g_nMeanBlurValue+1,g_nMeanBlurValue+1),Point(- 1,- 1));
imshow("<3.meanblur>",g_dstImage2);

}

static void on_GaussianBlur(int,void *)

{
GaussianBlur(g_srcImage,g_dstImage3,Size(g_nGaussianBlurValue*2+1,g_nGaussianBlurValue*2+1),0,0);
imshow("<4.GaussianBlur",g_dstImage3);
}

运行图如下