• OpenCV——照亮边缘


    具体的算法原理可以参考:

    PS滤镜,照亮边缘


    // define head function
    #ifndef PS_ALGORITHM_H_INCLUDED
    #define PS_ALGORITHM_H_INCLUDED
    
    #include <iostream>
    #include <string>
    #include "cv.h"
    #include "highgui.h"
    #include "cxmat.hpp"
    #include "cxcore.hpp"
    
    using namespace std;
    using namespace cv;
    
    
    void Show_Image(Mat&, const string &);
    
    #endif // PS_ALGORITHM_H_INCLUDED
    
    /*
    This program will generate
     "Glowing Edge" effect.
    
    */
    
    #include "PS_Algorithm.h"
    #include <time.h>
    
    using namespace std;
    using namespace cv;
    
    int main(void)
    {
        string Img_name("4.jpg");
        Mat Image_in;
        Image_in=imread(Img_name);
        Show_Image(Image_in, Img_name);
        Mat Image_out(Image_in.size(), CV_32FC3);
        Image_in.convertTo(Image_out, CV_32FC3);
    
        Mat Image_2(Image_in.size(), CV_32FC3);
        Image_in.convertTo( Image_2, CV_32FC3);
    
    
    
         Mat kernel;
         Point anchor;
         double delta;
         int ddepth;
         int kernel_size;
    
         ddepth=-1;
         anchor=Point(-1,-1);
         delta=0;
    
         kernel_size=3;
    
         Mat K_x;
         Mat K_y;
    
         K_x=Mat::zeros(kernel_size, kernel_size, CV_32F);
         K_y=Mat::zeros(kernel_size, kernel_size, CV_32F);
    
         float p,q;
    
         p=3; q=0;
    
         K_x.at<float>(0,0)=-1;  K_x.at<float>(0,1)=0; K_x.at<float>(0,2)=1;
         K_x.at<float>(1,0)=-p;  K_x.at<float>(1,1)=q;  K_x.at<float>(1,2)=p;
         K_x.at<float>(2,0)=-1;  K_x.at<float>(2,1)=0;  K_x.at<float>(2,2)=1;
    
         K_y.at<float>(0,0)=-1; K_y.at<float>(0,1)=-p; K_y.at<float>(0,2)=-1;
         K_y.at<float>(1,0)=0;  K_y.at<float>(1,1)=q;  K_y.at<float>(1,2)=0;
         K_y.at<float>(2,0)=1;  K_y.at<float>(2,1)=p;  K_y.at<float>(2,2)=1;
    
    
         Mat Image_x(Image_in.size(), CV_32FC3);
         Mat Image_y(Image_in.size(), CV_32FC3);
    
         cv::filter2D(Image_2, Image_x, ddepth, K_x);
         cv::filter2D(Image_2, Image_y, ddepth, K_y);
    
         float alpha=0.5;
    
         Image_out=alpha*abs(Image_x)+(1-alpha)*abs(Image_y);
    
        Image_out=Image_out/255;
    
        Show_Image(Image_out, "out.jpg");
    
        imwrite("out.jpg", Image_out*255);
    
        waitKey();
        cout<<"All is well."<<endl;
    
    }
    
    #include "PS_Algorithm.h"
    #include <iostream>
    #include <string>
    
    using namespace std;
    using namespace cv;
    
    void Show_Image(Mat& Image, const string& str)
    {
        namedWindow(str.c_str(),CV_WINDOW_AUTOSIZE);
        imshow(str.c_str(), Image);
    
    }
    

    原图: 



    效果图:


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  • 原文地址:https://www.cnblogs.com/mtcnn/p/9412666.html
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