opencv 幾種濾波處理效果

圖像讀取

• 讀取和顯示圖像

Mat src = imread("lena.png");   
namedWindow("src");
imshow("src", src);

• 高斯模糊

Mat GaussianBlurImg;
namedWindow("GaussianBlurImg");
GaussianBlur(src, GaussianBlurImg, Size(5, 5), 1, 1);
imshow("GaussianBlurImg", GaussianBlurImg);

中值濾波

Mat MedianBlurImg;
medianBlur(src, MedianBlurImg, 5);
imshow("MedianBlurImg", MedianBlurImg);

• 雙邊濾波

Mat BilateralFilterImg;
bilateralFilter(src, BilateralFilterImg, 5, 2, 2);
imshow("BilateralFilterImg", BilateralFilterImg);

所有代碼-（添加參數調節）

#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

using namespace std;
using namespace cv;

typedef struct _imgPair{
    Mat *src;
    Mat *dst;
    void * Param;
    char* winName;
}ImgPair;

typedef struct _gaussianParam {
    int kernelSize;
    int sigma;
}GaussianParam;

typedef struct _bilateralParam {
    int kernelSize;
    int sigmaColor;
    int sigmaSpace;
}BilateralParam;

void on_gaussiankernelBar(int ksize, void *userdata)
{
    ImgPair* pImgPair = (ImgPair*)userdata;
    GaussianParam *gPair = (GaussianParam *)(pImgPair->Param);
    gPair->kernelSize = ksize;

    GaussianBlur(*(pImgPair->src), *(pImgPair->dst), Size(gPair->kernelSize/2*2+1, gPair->kernelSize / 2 * 2 + 1), gPair->sigma, gPair->sigma);
    imshow(pImgPair->winName, *(pImgPair->dst));
}


void on_gaussianSigmaBar(int sigma, void *userdata)
{
    ImgPair* pImgPair = (ImgPair*)userdata;
    GaussianParam *gPair = (GaussianParam *)(pImgPair->Param);
    gPair->sigma = double(sigma);

    GaussianBlur(*(pImgPair->src), *(pImgPair->dst), Size(gPair->kernelSize / 2 * 2 + 1, gPair->kernelSize / 2 * 2 + 1), gPair->sigma, gPair->sigma);
    imshow(pImgPair->winName, *(pImgPair->dst));
}




void on_medianSigmaBar(int ksize, void *userdata)
{
    ImgPair* pImgPair = (ImgPair*)userdata;

    medianBlur(*(pImgPair->src), *(pImgPair->dst), ksize/2*2+1);
    imshow(pImgPair->winName, *(pImgPair->dst));

}


void on_bilateralDBar(int ksize, void *userdata)
{
    ImgPair* pImgPair = (ImgPair*)userdata;
    BilateralParam *param = (BilateralParam * )(pImgPair->Param);
    bilateralFilter(*(pImgPair->src), *(pImgPair->dst), ksize/2*2+1, param->sigmaColor, param->sigmaSpace);
    param->kernelSize = ksize;
    imshow(pImgPair->winName, *(pImgPair->dst));

}



void on_bilateralSigmaSpaceBar(int sigmaSpace, void *userdata)
{
    ImgPair* pImgPair = (ImgPair*)userdata;
    BilateralParam *param = (BilateralParam *)(pImgPair->Param);
    bilateralFilter(*(pImgPair->src), *(pImgPair->dst), param->kernelSize/2*2+1, param->sigmaColor, sigmaSpace);
    param->sigmaSpace = sigmaSpace;
    imshow(pImgPair->winName, *(pImgPair->dst));
}

void on_bilateralSigmaColorBar(int sigmaColor, void *userdata)
{
    ImgPair* pImgPair = (ImgPair*)userdata;
    BilateralParam *param = (BilateralParam *)(pImgPair->Param);
    bilateralFilter(*(pImgPair->src), *(pImgPair->dst), param->kernelSize / 2 * 2 + 1, sigmaColor, param->sigmaSpace);
    param->sigmaColor = sigmaColor;
    imshow(pImgPair->winName, *(pImgPair->dst));
}


int main()
{
    Mat src = imread("lena.png");

    namedWindow("src");
    imshow("src", src);


    /*-------GaussianBlur-----------*/
    Mat GaussianBlurImg;
    namedWindow("GaussianBlurImg");
    GaussianParam gaussianParam = { 5, 1.0 };
    GaussianBlur(src, GaussianBlurImg, Size(5, 5), 1, 1);
    GaussianParam gparam = { 5, 1.0 };
    ImgPair  gaussianPair = { &src, &GaussianBlurImg, &gparam,  "GaussianBlurImg" };

    imshow("GaussianBlurImg", GaussianBlurImg);
    createTrackbar("kernelsize", "GaussianBlurImg", &(gparam.kernelSize),30, on_gaussiankernelBar, &gaussianPair);
    createTrackbar("sigma", "GaussianBlurImg", &(gparam.kernelSize),10, on_gaussianSigmaBar, &gaussianPair);

    /*-------medianBlur-----------*/
    Mat MedianBlurImg;
    int kernelSize = 5;
    ImgPair  medianPair = { &src, &MedianBlurImg, nullptr,  "MedianBlurImg" };
    medianBlur(src, MedianBlurImg, 5);
    imshow("MedianBlurImg", MedianBlurImg);
    createTrackbar("kernelsize", "MedianBlurImg", &(kernelSize), 30, on_medianSigmaBar, &medianPair);


    /*---Bilateral-----------------*/
    Mat BilateralFilterImg;
    bilateralFilter(src, BilateralFilterImg, 5, 2, 2);
    BilateralParam bparam= { 5,1,1 };
    ImgPair  bilateralPair = { &src, &BilateralFilterImg, &bparam,  "BilateralFilterImg" };
    imshow("BilateralFilterImg", BilateralFilterImg);
    createTrackbar("kernelsize", "BilateralFilterImg", &(bparam.kernelSize), 30, on_bilateralDBar, &bilateralPair);
    createTrackbar("sigmaspace", "BilateralFilterImg", &(bparam.sigmaSpace), 30, on_bilateralSigmaSpaceBar, &bilateralPair);
    createTrackbar("sigmacolor", "BilateralFilterImg", &(bparam.sigmaColor), 30, on_bilateralSigmaColorBar, &bilateralPair);
    waitKey(0);
}

效果