学习OpenCV——用OpenCv画漫画

闲的时候用OpenCV画漫画也挺有意思，虽然效果不好（达不到上面所实现的效果），

参数需要调整，还是大头贴而且噪声小的图像比较合适

而且可以熟悉一下关于各种滤波的操作比如：双边滤波；

#include "cv.h"
#include "highgui.h"

using namespace cv;
using namespace std;

int main()
{
    string name="D:/cartoon0.jpg";
    Mat src1=imread(name,1);
    Mat img;
    //双边滤波，第3个参数d可以说d>5时不能实时处理，最后两个参数是sigma参数，一般相同，
    //<10时基本没效果, >150时漫画效果
        bilateralFilter(src1,img,5,150,150);
        bilateralFilter(img,src1,5,150,150);
        //img.copyTo(src1);

    imshow("bilateral",src1);
    waitKey(0);

    Mat src;
    cvtColor(src1,src,CV_BGR2GRAY);
    //粗线，越大越粗，但是会有大量噪点
    Mat imgL;
    //第三个参数ddepth表示目标图像的深度，ddepth=-1时，与原图像一致
    Laplacian(src,imgL,-1,3,1);
    imshow("Laplacian",imgL);
    waitKey(0);
    //细线
    Mat imgC;
    Canny(src,imgC,30,90);
    imshow("Canny",imgC);
    waitKey(0);

    Mat imgS,imgSx,imgSy,imgS0;
    Sobel(src,imgSx,-1,0,1);
    Sobel(src,imgSx,-1,1,0);
    imgS=imgSx+imgSy;
    Sobel(src,imgS0,-1,1,1);
    imshow("Sobel0",imgS0);
    imshow("Sobel",imgS);
    waitKey(0);

    Mat imgTotal;
    imgTotal=imgC+imgS+imgL;
    //imgTotal.convertTo(imgTotal,CV_32FC1);
    normalize(imgTotal,imgTotal,255,0,CV_MINMAX);
    GaussianBlur(imgTotal,imgTotal,Size(3,3),3);
    threshold(imgTotal,imgTotal,100,255,THRESH_BINARY_INV);
    imshow("Total",imgTotal);
    waitKey(0);

    Mat imgTotalC3;
    cvtColor(imgTotal,imgTotalC3,CV_GRAY2BGR);
    bitwise_and(src1,imgTotalC3,src1);
    imshow("Result",src1);
    waitKey(0);


    name.insert(11,"_edge");
    imwrite(name,src1);

    /*
    Mat img(imgTotal.rows,imgTotal.cols,CV_32FC1);
    for(int i=0;i<imgTotal.rows;i++)
    {
        //uchar* p=(uchar*)(imgTotal.ptr()+i*imgTotal.step);
        for(int j=0;j<imgTotal.cols;j++)
        {
            if(imgTotal.at<float>(i,j)==0)
                img.at<float>(i,j)=1;
        }
    }
    imshow("Reverse",img);
    waitKey(0);
    */
    /*
    Mat imgSc;
    Scharr(src,imgSc,-1,1,0);
    imshow("Scharr",imgSc);
    waitKey(0);
    */

}

from: http://blog.csdn.net/yangtrees/article/details/7544481