线性滤波+非线性滤波

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void boxFilter(InputArray src, OutputArray dst, int ddepth,
Size ksize, Point anchor = Point(-1,-1), boolnormalize = true, int borderType = BORDER_DEFAULT)

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void blur(InputArray src, OutputArray dst, int ddepth,
Size ksize, Point anchor = Point(-1,-1),
int borderType = BORDER_DEFAULT)

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void GaussianBlur(InputArray src, OutputArray dst,
Size ksize, double sigmaX,double sigmaY = 0,
int borderType = BORDER_DEFAULT)

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void medianBlur(InputArray src, OutputArray dst, int ddepth,
int ksize)

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void bilateralFilter(InputArray src, OutputArray dst, int d,
double sigmalColor,
double sigmalSpace, int borderType = BORDER_DEFAULT)

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#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
using namespace std;
using namespace cv;
//全局变量申明
Mat g_srcImage, g_dstImage1, g_dstImage2, g_dstImage3, g_dstImage4, g_dstImage5;
int g_nBoxFilterValue = 6;//方框滤波内核值
int g_nMeanBlurValue = 10;//均值滤波内核值
int g_nGaussianBlurValue = 6;//高斯滤波内核值
int g_nMedianBlurValue = 10;//中值滤波参数值
int g_nBilateralFilterValue = 10;//双边滤波参数值
//全局函数申明
static void on_BoxFilter(int, void*);
static void on_MeanBlur(int, void*);
static void on_GaussianBlur(int, void*);
static void on_MedianBlur(int, void*);
static void on_BilateralFilter(int, void*);
//控制台应用程序入口函数
int main() {
system("color 5E");
g_srcImage = imread("1.jpg", 1);
if (!g_srcImage.data) {
printf("读取srcImage错误n");
return false;
}
g_dstImage1 = g_srcImage.clone();
g_dstImage2 = g_srcImage.clone();
g_dstImage3 = g_srcImage.clone();
g_dstImage4 = g_srcImage.clone();
g_dstImage5 = g_srcImage.clone();
//显示原图
namedWindow("[0]原图", 1);
imshow("[0]原图", g_srcImage);
//-----------方框滤波---------------
namedWindow("[1]方框滤波", 1);
//创建轨迹条
createTrackbar("内核值：", "[1]方框滤波", &g_nBoxFilterValue, 50, on_BoxFilter);
on_MeanBlur(g_nBilateralFilterValue, 0);
imshow("[1]方框滤波", g_dstImage1);
//----------均值滤波----------------
namedWindow("[2]均值滤波", 1);
createTrackbar("内核值：", "[2]均值滤波", &g_nMeanBlurValue, 50, on_MeanBlur);
on_MeanBlur(g_nMeanBlurValue, 0);
//----------高斯滤波----------------
namedWindow("[3]高斯滤波", 1);
createTrackbar("内核值：", "[3]高斯滤波", &g_nGaussianBlurValue, 50, on_GaussianBlur);
on_GaussianBlur(g_nGaussianBlurValue, 0);
//----------中值滤波----------------
namedWindow("[4]中值滤波", 1);
createTrackbar("内核值：", "[4]中值滤波", &g_nMedianBlurValue, 50, on_MedianBlur);
on_MedianBlur(g_nMedianBlurValue, 0);
//----------双边滤波----------------
namedWindow("[5]双边滤波", 1);
createTrackbar("内核值：", "[5]双边滤波", &g_nBilateralFilterValue, 50, on_BilateralFilter);
on_BilateralFilter(g_nBilateralFilterValue, 0);
while(char(waitKey(1))!='q'){}
return 0;
}
static void on_BoxFilter(int, void*) {
boxFilter(g_srcImage, g_dstImage1,-1, Size(g_nBoxFilterValue+1, g_nBoxFilterValue + 1));
imshow("[1]方框滤波", g_dstImage1);
}
static void on_MeanBlur(int, void*) {
blur(g_srcImage, g_dstImage2, Size(g_nMeanBlurValue + 1, g_nMeanBlurValue + 1), Point(-1, -1));
imshow("[2]均值滤波", 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("[3]高斯滤波", g_dstImage3);
}
static void on_MedianBlur(int, void*) {
medianBlur(g_srcImage, g_dstImage4,g_nMedianBlurValue*2+1);
imshow("[4]中值滤波", g_dstImage4);
}
static void on_BilateralFilter(int, void*) {
bilateralFilter(g_srcImage, g_dstImage5, g_nBilateralFilterValue, g_nBilateralFilterValue*2, g_nBilateralFilterValue/2);
imshow("[5]双边滤波", g_dstImage5);
}