我的名字是budi。 我是图像处理的新手，最近我一直在努力学习opencv和visual studio。我已经成功检测到脸部，然后画出我已经检测到的脸部周围的圆圈，这要归功于一些DIY网站上的例子。我的问题是，如何检测一个环绕面部的圆圈？所以我可以将它用于“if”条件，例如
if（condition）//框架中至少有一个圆圈 { bla bla bla }
这是我使用的代码：
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/ocl/ocl.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/opencv.hpp>
#include <opencv2/opencv_modules.hpp>
#include <opencv2/videostab/deblurring.hpp>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <Windows.h>
#include <sstream>
#include <string>
using namespace std;
using namespace cv;
const static Scalar colors[] = { CV_RGB(0,0,255),
CV_RGB(0,128,255),
CV_RGB(0,255,255),
CV_RGB(0,255,0),
CV_RGB(255,128,0),
CV_RGB(255,255,0),
CV_RGB(255,0,0),
CV_RGB(255,0,255)
} ;
void Draw(Mat& img, vector<Rect>& faces, double scale);
int main(int argc, const char** argv)
{
// Setup serial port connection and needed variables.
HANDLE hSerial = CreateFile(L"COM8", GENERIC_READ | GENERIC_WRITE, 0, 0, OPEN_EXISTING, FILE_ATTRIBUTE_NORMAL, 0);
if (hSerial !=INVALID_HANDLE_VALUE)
{
printf("Port opened! \n");
DCB dcbSerialParams;
GetCommState(hSerial,&dcbSerialParams);
dcbSerialParams.BaudRate = CBR_9600;
dcbSerialParams.ByteSize = 8;
dcbSerialParams.Parity = NOPARITY;
dcbSerialParams.StopBits = ONESTOPBIT;
//CvMemStorage* p_strStorage;
char incomingData[256] = ""; // don't forget to pre-allocate memory
//printf("%s\n",incomingData);
int dataLength = 256;
int readResult = 0;
SetCommState(hSerial, &dcbSerialParams);
}
else
{
if (GetLastError() == ERROR_FILE_NOT_FOUND)
{
printf("Serial port doesn't exist! \n");
}
printf("Error while setting up serial port! \n");
}
char outputChars[] ="c" ;
DWORD btsIO;
//void Draw(Mat& img, vector<Rect>& faces, double scale);
Mat frame, frameCopy, image;
//int i; // loop counter
//char charCheckForEscKey; // char for checking key press (Esc exits program)
//create the cascade classifier object used for the face detection
CascadeClassifier face_cascade;
//use the haarcascade_frontalface_alt.xml library
face_cascade.load("haarcascade_frontalface_alt.xml");
//setup video capture device and link it to the first capture device
VideoCapture captureDevice;
captureDevice.open(0);
if(captureDevice.open(0) == NULL)
{ // if capture was not successful . . .
printf("error: capture error \n"); // error message to standard out . . .
getchar(); // getchar() to pause for user see message . . .
return(-1);
}
//setup image files used in the capture process
Mat captureFrame;
Mat grayscaleFrame;
//create a window to present the results
namedWindow("FaceDetection", 1);
//int servoPosition = 90;
//int servoOrientation = 0;
//int servoPosition1=90;
//int servoOrientation1=0;
//create a loop to capture and find faces
while(true)
{
//p_imgOriginal = captureFrame;
//capture a new image frame
captureDevice>>captureFrame;
//convert captured image to gray scale and equalize
cvtColor(captureFrame, grayscaleFrame, CV_BGR2GRAY);
imshow("Grayscale", grayscaleFrame);
equalizeHist(grayscaleFrame, grayscaleFrame);
//p_strStorage = cvCreateMemStorage(0);
//create a vector array to store the face found
std::vector<Rect> faces;
//find faces and store them in the vector array
face_cascade.detectMultiScale(grayscaleFrame, faces, 1.1, 3, CV_HAAR_FIND_BIGGEST_OBJECT|CV_HAAR_SCALE_IMAGE, Size(30,30));
//draw a circle for all found faces in the vector array on the original image
//for(int i = 0; i < faces.size(); i++)
int i = 0;
//for( int i = 0; i < faces.size(); i++ )
for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
{
Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
Scalar color = colors[i%8];
center.x = cvRound((r->x + r->width*0.5));
center.y = cvRound((r->y + r->height*0.5));
Point pt1(faces[i].x + faces[i].width, faces[i].y + faces[i].height);
Point pt2(faces[i].x, faces[i].y);
int radius;
int X = faces[i].x;
int Y = faces[i].y;
radius = cvRound((faces[i].width + faces[i].height)*0.25);
//ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 2, 8, 0 );
//rectangle(captureFrame, pt1, pt2, cvScalar(0, 255, 0, 0), 1, 8, 0);
circle(captureFrame,center,radius,cvScalar(0, 255, 0, 0), 1, 8, 0);
cout << "X:" << faces[i].x << " Y:" << faces[i].y << endl;
if (radius >= 85)
{
outputChars[0] = 'a';
WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL);
cout << "radius >= 85, advertising begin" << endl;
//FlushFileBuffers(hSerial);
}
else if (radius <= 84)
{
outputChars[0] = 'b';
WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL);
//cout << "radius >= 85, advertising begin" << endl;
}
/*else if (radius >= 85 | X<=164 && X>=276)
{
outputChars[0] = 'z';
WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL);
cout << "radius >= 85, advertising begin" << endl;
//FlushFileBuffers(hSerial);
}
else if (radius < 85)
{
outputChars[0] = 'b';
WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL);
cout << "radius: " << radius << "radius < 85, advertising end!" << endl;
//FlushFileBuffers(hSerial);
}
/*if (X>=165 | X<=275)
{
outputChars[0]='u';
WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL);
cout <<"Face in the middle of the frame" << endl;
FlushFileBuffers(hSerial);
}
/*if (X<=164 | X>=276)
{
outputChars[0]='y';
WriteFile(hSerial, outputChars, strlen(outputChars), &btsIO, NULL);
cout <<"no face in the middle of the frame" << endl;
//FlushFileBuffers(hSerial);
}*/
}
//print the output
imshow("FaceDetection", captureFrame);
//pause for 200ms
waitKey(60);
}
cvDestroyWindow("FaceDetection");
cvDestroyWindow("Grayscale");
FlushFileBuffers(hSerial);
// This closes the Serial Port
CloseHandle(hSerial);
return 0;
}
请帮帮我，谢谢大家的关注。