opencv-图像的融合

本代码可以实现在VS2010环境下的平移参数计算和后期融合

但无法在ARM平台实现

// fourier.cpp : 定义控制台应用程序的入口点。////#include "stdafx.h"#include <opencv2/opencv.hpp>#include <opencv2/core/core.hpp>#include <opencv2/features2d/features2d.hpp>#include <opencv2/highgui/highgui.hpp>#include <opencv2/legacy/legacy.hpp>#include <iostream>#include <vector>using namespace cv;using namespace std;int main(){string name1;string name2;cout<<"请输入参考图象文件名"<<endl;cin>>name1;cout<<"请输入浮动图像文件名"<<endl;cin>>name2;/////////////////////////////////double time_0=cv::getTickCount()/cv::getTickFrequency();cv::Mat src1=cv::imread(name1,0);cv::Mat padded=src1;Mat planes[] = {Mat_<float>(padded), Mat::zeros(padded.size(), CV_32F)};Mat complexI,complexI_fft;merge(planes, 2, complexI); cv::dft(complexI, complexI_fft);cv::split(complexI_fft, planes);//////////////////////////////////cv::Mat src2=cv::imread(name2,0);//读取输入图像cv::Mat padded2=src2;//cv::Mat dst2=cv::Mat::zeros(src2.size(),CV_32FC2);Mat planes2[] = {Mat_<float>(padded2), Mat::zeros(padded2.size(), CV_32F)};Mat complexI2,complexI2_fft;merge(planes2, 2, complexI2); cv::dft(complexI2, complexI2_fft);cv::split(complexI2_fft, planes2);//cv::normalize(planes[1],planes[1], 0, 1, CV_MINMAX);//////////////////////////////////////////////////////////src1变换后实部 planes[0]   虚部planes[1]//src2变换后实部 planes2[0]  虚部planes2[1]//互功率谱存放矩阵 实部  planes3[0]   虚部planes3[1]//////////////////////////////////////////////////////////Mat planes3[] = {Mat::zeros(src1.size(), CV_32F), Mat::zeros(src1.size(), CV_32F)};for(int i=0;i<src1.rows-1;i++){for(int j=0;j<src1.cols-1;j++){double r1=planes[0].at<float>(j,i);//获取像素值double i1=planes[1].at<float>(j,i);double r2=planes2[0].at<float>(j,i);double i2=planes2[1].at<float>(j,i);double r3    =r1*r2+i1*i2;//计算互功率谱的值 double i3    =r1*i2-r2*i1;double abs   =sqrt((r3*r3)+(i3*i3));double r_exp =r3/abs;double i_exp =i3/abs;planes3[0].at<float>(j,i)=r_exp;planes3[1].at<float>(j,i)=i_exp;}}//magnitude(planes3[0], planes3[1], planes3[0]);//Mat complexI3=planes3[0];//cv::Mat =cv::Mat::zeros(dst.size(),dst.type());//cv::flip(complexI3,complexI3,-1);Mat complexI3,complexI3_fft;merge(planes3, 2, complexI3);cv::dft(complexI3,complexI3_fft,CV_DXT_INV_SCALE);cv::split(complexI3_fft,planes3);magnitude(planes3[0], planes3[1], planes3[0]);cv::Mat magI,magI_1,magI_log;planes3[0].copyTo(magI);//complexI3=planes3[0];//cv::add(complexI3,cv::Scalar(1.0),complexI3,NULL);//cv::log(complexI3,complexI3);magI_1= magI+Scalar::all(1); log(magI_1, magI_log);cv::Mat magI_nom_1;cv::normalize(magI_log,magI_nom_1, 0, 1, CV_MINMAX);/*complexI3 = complexI3(Rect(0, 0, complexI3.cols & -2, complexI3.rows & -2));int cx = complexI3.cols/2;int cy = complexI3.rows/2;Mat q0(complexI3, Rect(0, 0, cx, cy));   // Top-Left - 为每一个象限创建ROIMat q1(complexI3, Rect(cx, 0, cx, cy));  // Top-RightMat q2(complexI3, Rect(0, cy, cx, cy));  // Bottom-LeftMat q3(complexI3, Rect(cx, cy, cx, cy)); // Bottom-RightMat tmp;                           // 交换象限 (Top-Left with Bottom-Right)q0.copyTo(tmp);q3.copyTo(q0);tmp.copyTo(q3);q1.copyTo(tmp);                    // 交换象限 (Top-Right with Bottom-Left)q2.copyTo(q1);tmp.copyTo(q2);*/double max=0,min=0;cv::Point minLoc,maxLoc;cv::minMaxLoc(magI_nom_1,&min,&max,&minLoc,&maxLoc);//cv::imwrite("complexI3.bmp",complexI3);double time_pingyi=cv::getTickCount()/cv::getTickFrequency()-time_0;cout<<"max  "<<max<<"  min  "<<min<<endl;cout<<maxLoc.x<<"   "<<maxLoc.y<<endl;cout<<"计算平移参数所需时间为 "<<time_pingyi<<"s"<<endl;cv::Mat matrix=cv::Mat::zeros(2,3,CV_32FC1);matrix.at<float>(0,2)=maxLoc.x;matrix.at<float>(1,2)=maxLoc.y;matrix.at<float>(0,0)=1;matrix.at<float>(1,1)=1;//cout<<"value  "<<src2.at<float>(1,14)<<endl;cv::Mat src =cv::imread(name1,0);cv::Mat jiaquanqian =cv::Mat::zeros(src.size(),CV_32FC1);//src.copyTo(jiaquanqian);cv::Mat jiaquanhou  =cv::Mat::zeros(src.size(),CV_32FC1);cv::Mat bianhuanqian=cv::imread(name2,0);cv::Mat bianhuanhou =cv::Mat::zeros(bianhuanqian.size(),CV_32FC1);for(int j=0;j<bianhuanhou.rows-1;j++){for(int i=0;i<bianhuanhou.cols-1;i++){int qian_y=i+maxLoc.x,qian_x=j+maxLoc.y;if(qian_x<0||qian_y<0||qian_x>bianhuanqian.cols-1||qian_y>bianhuanhou.rows-1){bianhuanhou.at<float>(j,i)=0;}else{int value_u=bianhuanqian.at<uchar>(qian_x,qian_y);float value_f=(float)value_u;bianhuanhou.at<float>(j,i)=value_f;}}}cv::imwrite("bianhuanhou.bmp",bianhuanhou);cv::Mat bianhuanhou_nom_255;cv::normalize(bianhuanhou,bianhuanhou_nom_255,0,255,CV_MINMAX);cv::imwrite("bianhuanhou_nom_255.bmp",bianhuanhou_nom_255);//cv::namedWindow("bianhuanhou");//cv::imshow("bianhuanhou",bianhuanhou);for(int j=0;j<bianhuanhou.rows-1;j++){for(int i=0;i<bianhuanhou.cols-1;i++){float tmp=src.at<uchar>(j,i);jiaquanqian.at<float>(j,i)=tmp;float jiaquan_value=bianhuanhou.at<float>(j,i);if(jiaquan_value==0){jiaquanhou.at<float>(j,i)=jiaquanqian.at<float>(j,i);}else{float tmp=src.at<uchar>(j,i);jiaquanqian.at<float>(j,i)=tmp;float aa=jiaquanqian.at<float>(j,i);float bb=bianhuanhou.at<float>(j,i);jiaquanhou.at<float>(j,i)=(aa+bb)/2;}}}double time_all=cv::getTickCount()/cv::getTickFrequency()-time_0;double time_ronghe=time_all-time_pingyi;cout<<"图像融合所需时间为   "<<time_ronghe<<"s"<<endl;cout<<"程序运行总时间时间为 "<<time_all<<"s"<<endl;//imgaffine(src2,src2,matrix);cv::imwrite("jiaquanhou.bmp",jiaquanhou);cv::Mat jiaquanhou_nom_255,jiaquanhou_nom_1;cv::normalize(jiaquanqian,jiaquanhou_nom_255,0,255,CV_MINMAX);cv::imwrite("jiaquanhou0-255.bmp",jiaquanhou_nom_255);//cv::namedWindow("jiaquanqian");//cv::imshow("jiaquanqian",src);cv::normalize(jiaquanhou,jiaquanhou,0,1,CV_MINMAX);cv::imwrite("jiaquanhou_nom_1.bmp",jiaquanhou_nom_1);for(int i=0;i<510;i++){for(int j=0;j<510;j++){if(i%30==0&&j%30==0)cout<<jiaquanhou_nom_255.at<float>(i,j)<<endl;}}//cv::namedWindow("jiaquanhou");//cv::imshow("jiaquanhou",jiaquanhou);cv::waitKey();return 0;}