OpenCV——PS 图层混合算法 （二）

详细的算法原理能够參考

PS图层混合算法之二（线性加深，线性减淡，变亮，变暗）

// PS_Algorithm.h

#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;

#endif // PS_ALGORITHM_H_INCLUDED

// main function

#include "PS_Algorithm.h"

void Linear_Burn(Mat& src1, Mat& src2, Mat& dst);

void Linear_Dodge(Mat& src1, Mat& src2, Mat& dst);

void Lighten(Mat& src1, Mat& src2, Mat& dst);

void Darken(Mat& src1, Mat& src2, Mat& dst);

int main(void)

{

Mat Origin_Image1;

Mat Origin_Image2;

Origin_Image1=imread("2.jpg");

Origin_Image2=imread("3.jpg");

Mat Image_up(Origin_Image1.size(),CV_32FC3);

Mat Image_down(Origin_Image2.size(), CV_32FC3);

Origin_Image1.convertTo(Image_up,CV_32FC3);

Origin_Image2.convertTo(Image_down,CV_32FC3);

Image_up=Image_up/255;

Image_down=Image_down/255;

Mat Image_mix(Image_up);

//Linear_Burn(Image_up, Image_down, Image_mix);

//Linear_Dodge(Image_up, Image_down, Image_mix);

//Lighten(Image_up, Image_down, Image_mix);

//Darken(Image_up, Image_down, Image_mix);

namedWindow("Img", CV_WINDOW_AUTOSIZE);

imshow("Img",Image_mix);

waitKey();

cvDestroyWindow("Img");

cout<<"All is well."<<endl;

return 0;

}

// linear Burn

void Linear_Burn(Mat& src1, Mat& src2, Mat& dst)

{

for(int index_row=0; index_row<src1.rows; index_row++)

{

for(int index_col=0; index_col<src1.cols; index_col++)

{

for(int index_c=0; index_c<3; index_c++)

dst.at<Vec3f>(index_row, index_col)[index_c]=max(

src1.at<Vec3f>(index_row, index_col)[index_c]+

src2.at<Vec3f>(index_row, index_col)[index_c]-1, (float)0.0);

}

}

}

// linear dodge

void Linear_Dodge(Mat& src1, Mat& src2, Mat& dst)

{

for(int index_row=0; index_row<src1.rows; index_row++)

{

for(int index_col=0; index_col<src1.cols; index_col++)

{

for(int index_c=0; index_c<3; index_c++)

dst.at<Vec3f>(index_row, index_col)[index_c]=min(

src1.at<Vec3f>(index_row, index_col)[index_c]+

src2.at<Vec3f>(index_row, index_col)[index_c], (float)1.0);

}

}

}

// Lighten

void Lighten(Mat& src1, Mat& src2, Mat& dst)

{

for(int index_row=0; index_row<src1.rows; index_row++)

{

for(int index_col=0; index_col<src1.cols; index_col++)

{

for(int index_c=0; index_c<3; index_c++)

dst.at<Vec3f>(index_row, index_col)[index_c]=max(

src1.at<Vec3f>(index_row, index_col)[index_c],

src2.at<Vec3f>(index_row, index_col)[index_c]);

}

}

}

// Darken

void Darken(Mat& src1, Mat& src2, Mat& dst)

{

for(int index_row=0; index_row<src1.rows; index_row++)

{

for(int index_col=0; index_col<src1.cols; index_col++)

{

for(int index_c=0; index_c<3; index_c++)

dst.at<Vec3f>(index_row, index_col)[index_c]=min(

src1.at<Vec3f>(index_row, index_col)[index_c],

src2.at<Vec3f>(index_row, index_col)[index_c]);

}

}