OpenCV——Perlin Noise

// define head function
#ifndef PS_ALGORITHM_H_INCLUDED
#define PS_ALGORITHM_H_INCLUDED

#include 
#include 
#include "cv.h"
#include "highgui.h"
#include "cxmat.hpp"
#include "cxcore.hpp"
#include "math.h"

using namespace std;
using namespace cv;

void Show_Image(Mat&, const string &);

#endif // PS_ALGORITHM_H_INCLUDED

/*

perlin noise.

*/

#include "PS_Algorithm.h"
#include 

using namespace std;
using namespace cv;

void Generate_smoothnoise(Mat& src, Mat& std, int octave);
float Cosine_Interpolate(float x1,float x2,float alpha);

#define pi 3.1415926

int main()
{
    string Img_name("4.jpg");
    Mat Img;
    Img=imread(Img_name);

    Mat Cloud(Img.size(), CV_32FC1);
    Mat Cloud_Temp(Img.size(), CV_32FC1);
    Mat Base_Noise(Img.size(), CV_32FC1);

    cv::randn(Base_Noise, 0.5, 0.25);
    // Show_Image(Base_Noise, "N1");

    float persistance = 0.8;
    float totalAmplitude = 0.0;
    float amplitude;
    int octaveCount=8;

    for (int i=0; i(sample_i0,sample_j0),
                    src.at(sample_i0,sample_j1), horizontal_blend);

            // blend the bottom two corners
            bottom = Cosine_Interpolate(src.at(sample_i1,sample_j0),
                    src.at(sample_i1,sample_j1), horizontal_blend);

            // final blend
            dst.at(i,j) = Cosine_Interpolate(top, bottom, vertical_blend);

        }

    }

}


float Cosine_Interpolate(float x1,float x2,float alpha)
{
    float ft, f;
    float y;

    ft = alpha * pi;
    f = (1 - cos(ft)) * .5;
    y=x1*(1-f)+x2*f;

    return y;
}


// define the show image
#include "PS_Algorithm.h"
#include 
#include 

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