OpenCV——PS滤镜,毛玻璃特效

程序完成 “毛玻璃” 特效, 不过边缘没有处理,使得最终的图像有黑边。

不过,有了黑边,感觉效果也不错,所以这个bug 没有管。


#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
 "diffuse or groundglass " 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_2(Image_in.size(), CV_32FC3);
    Image_in.convertTo( Image_2, CV_32FC3);

    Mat Image_Blur(Image_in.size(), CV_32FC3);
    GaussianBlur(Image_2, Image_Blur, Size (5, 5), 0);
    Image_Blur=Image_Blur/255;
    Show_Image(Image_Blur, "blur");


    int nrows=Image_Blur.rows;
    int ncols=Image_Blur.cols;

    cout<<"Rows: "<<nrows<<endl;
    cout<<"Cols: "<<ncols<<endl;

    Mat Image_Out(Image_Blur.size(), CV_32FC3);

    int P_size; P_size=3;
    float k1, k2;
    float m, n;
    int h, w;


    srand( (unsigned)time(NULL) );

    for (int i=0+P_size; i<nrows-P_size; i++ )
       for (int j=0+P_size; j<ncols-P_size; j++ )
      {

        k1=(double)((rand() % 100))/100.0-0.5;
        k2=(double)((rand() % 100))/100.0-0.5;

        m=(k1*(P_size*2-1));
        n=(k2*(P_size*2-1));

        h=(int)(i+m)% nrows;
        w=(int)(j+n)% ncols;

        Image_Out.at<Vec3f>(i,j)=Image_Blur.at<Vec3f>(h,w);

      }

    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 

OpenCV——PS滤镜,毛玻璃特效_第1张图片

效果图

OpenCV——PS滤镜,毛玻璃特效_第2张图片




你可能感兴趣的:(算法,应用,opencv,photoshop)