OpenCV——素描

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具体的算法原理可以参考：

PS滤镜，素描算法

// 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 "Sketch" 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 I(Image_in.size(), CV_32FC1);    cv::cvtColor(Image_out, I, CV_BGR2GRAY);    I=I/255.0;    // Show_Image(I, "gray");    Mat I_invert;    I_invert=-I+1.0;    // Show_Image(I_invert, "Inv");    Mat I_gau;    GaussianBlur(I_invert, I_gau, Size(25,25), 0, 0);    //Show_Image(I_gau, "gau1");    float delta=0.01;    I_gau=-I_gau+1.0+delta;    //Show_Image(I_gau, "gau");    Mat I_dst;    cv::divide(I, I_gau, I_dst);    I_dst=I_dst;    Show_Image(I_dst, "dst");    Mat b(Image_in.size(), CV_32FC1);    Mat g(Image_in.size(), CV_32FC1);    Mat r(Image_in.size(), CV_32FC1);    Mat rgb[]={b,g,r};    float alpha=0.75;    r=alpha*I_dst+(1-alpha)*200.0/255.0;    g=alpha*I_dst+(1-alpha)*205.0/255.0;    b=alpha*I_dst+(1-alpha)*105.0/255.0;    cv::merge(rgb, 3, Image_out);    Show_Image(Image_out, "out");    imwrite("out.jpg", Image_out*255);    waitKey();    cout<<"All is well."<<endl;}// define the show image#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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