opencv4 学习 06 图像平滑操作

主要介绍各种核函数的使用方法：

• blur()
• GaussianBlur()
• medianBlur()
• bilateralFilter()

 

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

using namespace std;
using namespace cv;

int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;

Mat src = imread("lena.jpg", IMREAD_COLOR);
Mat dst;

char window_name[] = "Smoothing Demo";


int display_dst(int delay){
    imshow(window_name, dst);
    int c = waitKey(delay);
    if(c>=0){return -1;}
    return 0;
}
int display_caption(const char* caption){
    dst = Mat::zeros(src.size(), src.type());
    putText(dst, caption, Point(src.cols/4,src.rows/2),FONT_HERSHEY_COMPLEX,1,Scalar(255,255,2555));
    return display_dst(DELAY_CAPTION);
}



int main(int argc, char* argv[])
{
    namedWindow(window_name, WINDOW_AUTOSIZE);

    if(display_caption("Original Image")!=0) return 0;
    dst = src.clone();
    if(display_dst(DELAY_CAPTION)!=0) return 0;

    if(display_caption("Homogeneous Blur")!=0) return 0;
    for(int i = 1; i<MAX_KERNEL_LENGTH; i=i+2){
        blur(src, dst, Size(i,i), Point(-1,-1));
        if(display_dst(DELAY_BLUR)!=0) return 0;
    }

    if(display_caption("Gaussian Blur")!=0) return 0;
    for(int i=1;i<MAX_KERNEL_LENGTH;i+=2){
        GaussianBlur(src,dst,Size(i,i),0,0);
        if(display_dst(DELAY_BLUR)!=0) return 0;
    }

    if(display_caption("Median Blur")!=0) return 0;
    for(int i=1;i<MAX_KERNEL_LENGTH;i+=2){
        medianBlur(src,dst,i);
        if(display_dst(DELAY_BLUR)!=0) return 0;
    }

    if(display_caption("Bilateral Blur")!=0) return 0;
    for(int i=1;i<MAX_KERNEL_LENGTH;i+=2){
        bilateralFilter(src,dst,i,i*2,i/2);
        if(display_dst(DELAY_BLUR)!=0) return 0;
    }

    display_caption("Done");

    return 0;
}