线性滤波

 

一、方框滤波

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

二、均值滤波

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

 

三、高斯滤波

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

#include<opencv2/opencv.hpp>
#include<iostream>

using namespace std;
using namespace cv;

Mat g_srcImage, g_dstImage1, g_dstImage2, g_dstImage3;
int g_nBoxFilterValue = 3;  //方框滤波参数值
int g_nMeanBlurValue = 3;   //均值滤波参数值
int g_nGaussianBlurValue = 3;  //高斯滤波参数值

static void on_BoxFilter(int, void *);   //方框滤波
static void on_MeanBlur(int, void *);   //均值滤波
static void on_GaussianBlur(int, void *);  //高斯滤波

int main() {
    //改变console字体颜色
    system("color 5E");

    //载入原图
    g_srcImage = imread("C:\Users\Administrator\Pictures\Camera Roll\05.jpg");
    if (!g_srcImage.data) {
        printf("读取srcIamge错误！
");
        return false;
    }

    //复制原图到三个Mat类型中
    g_dstImage1 = g_srcImage.clone();
    g_dstImage2 = g_srcImage.clone();
    g_dstImage3 = g_srcImage.clone();

    //显示原图
    namedWindow("【原图窗口】", 1);
    imshow("【原图窗口】", g_srcImage);

    //=====【方框滤波】======
    //创建窗口
    namedWindow("【方框滤波】",1);
    //创建轨迹条
    createTrackbar("内核值：", "【方框滤波】", &g_nBoxFilterValue, 40, on_BoxFilter);
    on_BoxFilter(g_nBoxFilterValue, 0);
    

    //=====【均值滤波】======
    //创建窗口
    namedWindow("【均值滤波】", 1);
    //创建轨迹条
    createTrackbar("内核值：", "【均值滤波】", &g_nMeanBlurValue, 40, on_MeanBlur);
    on_MeanBlur(g_nMeanBlurValue, 0);
    

    //=====【高斯滤波】======
    //创建窗口
    namedWindow("【高斯滤波】", 1);
    //创建轨迹条
    createTrackbar("内核值：", "【高斯滤波】", &g_nGaussianBlurValue, 40, on_GaussianBlur);
    on_GaussianBlur(g_nGaussianBlurValue, 0);

    while (char(waitKey(1) != 'q')) {}
    
    return 0;
}

static void on_BoxFilter(int, void *) {   //方框滤波
    //方框滤波操作
    boxFilter(g_srcImage, g_dstImage1, -1, Size(g_nBoxFilterValue + 1, g_nBoxFilterValue + 1));
    //显示窗口
    imshow("【方框滤波】", g_dstImage1);
}
static void on_MeanBlur(int, void *) {   //均值滤波
    //均值滤波操作
    blur(g_srcImage, g_dstImage2, Size(g_nMeanBlurValue + 1, g_nMeanBlurValue + 1), Point(-1, -1));
    //显示窗口
    imshow("【均值滤波】", g_dstImage2);
}
static void on_GaussianBlur(int, void *) {  //高斯滤波
    //高斯滤波操作
    GaussianBlur(g_srcImage, g_dstImage3, Size(g_nGaussianBlurValue * 2 + 1, g_nGaussianBlurValue * 2 + 1), 0, 0);
    //显示窗口
    imshow("【高斯滤波】", g_dstImage3);
}