OpenCV 蒙太奇效果

opencv 评论

展示一下图片的效果

原图

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效果图

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拼接图

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代码区：注释即为思想

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#include <sstream>
#include <opencv2/opencv.hpp>
#include <stdlib.h>
#include <time.h>
using namespace cv;
using namespace std;

int main(int argc, char *argv[])
{
    Mat src=imread("/media/lyf/doc/蒙太奇/change.jpeg");

    if(src.empty())
    {
        return -1;
    }
    resize(src,src,Size(),0.5,0.5);
    //长宽能放下多少张小图片
    int rows=src.rows,cols=src.cols;
    int much_row=rows/50,much_col=cols/50;
    much_col=much_col*50<cols?much_col+1:much_col;
    much_row=much_row*50<rows?much_row+1:much_row;

    Mat over=Mat(much_row*50,much_col*50,CV_8UC3,Scalar(255,255,255));
    srand(time(NULL));
    Mat micPic,temp;
    for(int i=0;i<much_row;++i)
    {

        for(int j=0;j<much_col;++j)
        {
            //读取拼接的图片
            std::string filename="/media/lyf/doc/蒙太奇/m";
            std::stringstream ss;
            ss<<rand()%22+1;
            filename+=ss.str()+".jpeg";
            //cout<<filename<<endl;
            micPic=imread(filename,CV_LOAD_IMAGE_UNCHANGED);
            if(micPic.empty())
                {
                    cout<<"读取过程中出现错误"<<endl;
                    return -1;
                }
            //cout<<micPic.channels()<<endl;
            resize(micPic,micPic,Size(50,50));
            temp=Mat(over,Rect(j*50,i*50,50,50));
            micPic.copyTo(temp);
            micPic.release();
        }
    }
    //将图片转为 float类型的便于比例的分割
    Mat src_32f,over_32f;
    src.convertTo(src_32f,CV_32FC3);
    over.convertTo(over_32f,CV_32FC3);
     for(int i = 0; i < rows; ++i)
    {
        for(int j = 0; j < cols; ++j)
        {
            //黄金比列

            over_32f.at<Vec3f>(i, j)[0] = saturate_cast<float>(0.382*over_32f.at<Vec3f>(i, j)[0]+0.618*src_32f.at<Vec3f>(i, j)[0]);
            over_32f.at<Vec3f>(i, j)[1] = saturate_cast<float>(0.382*over_32f.at<Vec3f>(i, j)[1]+0.618*src_32f.at<Vec3f>(i, j)[1]);
            over_32f.at<Vec3f>(i, j)[2] = saturate_cast<float>(0.382*over_32f.at<Vec3f>(i, j)[2]+0.618*src_32f.at<Vec3f>(i, j)[2]);
        }
    }
    //转为正常图片格式 uchar
    over_32f.convertTo(over,CV_8UC3);
    over=Mat (over,Rect(0,0,cols,rows));
    imshow("原图",src);
    imshow("生成的",over);
    resize(over,over,Size(),1.5,1.5);
    imwrite("over.jpeg",over);
    waitKey(0);
    return 0;
}

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