使用opencv中匹配点对的坐标提取方式
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2020-12-17
17:38:26
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使用使用opencv中匹配点对的坐标提取方式中匹配点对的坐标提取方式
在opencv中，特征检测、描述、匹配都有集成的函数。vector<DMatch> bestMatches;用来存储得到的匹配点对。那么如何提
取出其中的坐标呢？
int index1, index2;
for (int i = 0; i < bestMatches.size(); i++)//将匹配的特征点坐标赋给point
{
index1 = bestMatches.at(i).queryIdx;
index2 = bestMatches.at(i).trainIdx;
cout << keyImg1.at(index1).pt.x << " "
<< keyImg1.at(index1).pt.y << " "
<< keyImg2.at(index2).pt.x << " "
<< keyImg2.at(index2).pt.y << endl;
}
补充知识：补充知识：OpenCV 如何获取一个连通域中的所有坐标点如何获取一个连通域中的所有坐标点
#include "stdafx.h"
#include "cv.h"
#include "highgui.h"
#include "cxcore.h"
int main(int argc, char* argv[])
{
IplImage* img;
img = cvLoadImage("D:\OOTT\WEEK5\2.png");
IplImage* gray = cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
cvCvtColor(img,gray,CV_BGR2GRAY);
cvThreshold(gray,gray,128,255,CV_THRESH_BINARY);
CvMemStorage* storage = cvCreateMemStorage();
CvSeq * first_contour = NULL;
int Ncontour = cvFindContours(gray,storage,&first_contour,sizeof(CvContour),CV_RETR_LIST);
//Ncontour为cvFindContours函数返回的轮廓个数
for(CvSeq* c = first_contour;c!= NULL;c=c->h_next)
{
// cvDrawContours(img,c,cvScalar(255,255,0),cvScalar(255,0,255),0,2,8);
cvNamedWindow("contours",CV_WINDOW_AUTOSIZE);
// cvShowImage("contours",img);
for(int k = 0;k <c->total;++k)
{
CvPoint* p = CV_GET_SEQ_ELEM(CvPoint,c,k);
printf("(%d,%d)",p->x,p->y);
}
CvRect rect;
rect = cvBoundingRect(c,0);
cvFloodFill(img,cvPoint(img->width/2,img->height/2),cvScalar(255,255,255),cvScalar(20),cvScalar(20),NULL,4,NULL);
cvShowImage("contours",img);
int Num[500][500];
for (int i=0;i<(img->height-5);i++)
for (int j=0;j<(img->width-5);j++)
{
CvScalar S0;
S0=cvGet2D(img,i,j);
if(S0.val[0] == 255)
Num[i][j]=1;
else
Num[i][j]=0;
printf("(%d,%d)",i,j);
}
}
cvWaitKey(0);
cvReleaseImage(&img);
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