opencv边界识别

opencv边界识别，输入是一个传送带上的物体，通过识别边界判断是哪个物体。方法还不是特别完善，判断物体的时候其实应该用周长和面积的比，但是已经没有问题了

#include<iostream>

#include<opencv2\core\core.hpp>
#include<opencv2\highgui\highgui.hpp>
#include<opencv2\imgproc\imgproc.hpp>
#include<opencv2\video\background_segm.hpp>
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/video/background_segm.hpp"
#include <stdio.h>
#include <string>
//(maskArct<500&&maskArct>400&&areat<4000&&areat>3500)||

using namespace cv;
using namespace std;

Mat MotionSeg(VideoCapture & v,VideoCapture & v2){
Mat Frame, fgMask, bg, bfgMask, sfgMask;
int FrameNum = 0;

if (!v.isOpened()) {
printf("Reading video failed！\n");
//return false;
}

Ptr<BackgroundSubtractorMOG2> bgSub = createBackgroundSubtractorMOG2(); //Define background minus object and initialization

while (v.read(Frame)) {
double maskArct=0;
double areat=0;
FrameNum++;
bgSub->apply(Frame, fgMask, 0.005);
bgSub->getBackgroundImage(bg); //get background image
blur(fgMask, sfgMask, Size(3, 3)); //smooth the foreground video
threshold(sfgMask, bfgMask, 127.5, 255, cv::THRESH_BINARY); //binary the foreground video
//display
imshow("Foreground mask", bfgMask);
Mat mask[3];
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
split(bfgMask,mask);
findContours(mask[0],contours,hierarchy,CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE);
for (int i = 0; i < (int)contours.size(); i++) {
double maskArc=arcLength(contours[i], true);

if (maskArc>maskArct){
maskArct=maskArc;
}

}
for (int i = 0; i < (int)contours.size(); i++) {
double area = contourArea(contours[i]);

if(area>areat){
areat=area;
}
}
if(FrameNum>30&&areat>3500){
if (maskArct<400&&maskArct>350&&areat>8500&&areat<10000){
cout<<"This is a nut"<<endl;
}
else if((maskArct<620&&maskArct>550&&areat<9500&&areat>7900)&&!((maskArct*maskArct/areat>55)&&(maskArct*maskArct/areat<60))){
cout<<"This is prong"<<endl;

}
else if(maskArct<250&&maskArct>200&&areat<5500&&areat>4000){
cout<<"this is a peg"<<endl;
}
else if((maskArct*maskArct/areat>58)&&(maskArct*maskArct/areat<62)&&areat<6000&&areat>5000){
cout<<"this is a pipe"<<endl;
}
else if (maskArct<500&&maskArct>400&&areat<8000&&areat>6000){
cout<<"this is a q"<<endl;
}
else if (maskArct<300&&maskArct>250&&areat<6000&&areat>5000){
cout<<"this is a washer"<<endl;
}
}
imshow("Original video",Frame);
waitKey(10);

}
cout << "There are " << FrameNum << " frames in this video" << endl;
return bfgMask;
}

int main() {
VideoCapture video("C:\\Users\\Administrator\\Desktop\\belt2_fg.wmv");
VideoCapture video2("C:\\Users\\Administrator\\Desktop\\belt2_bg.wmv");
Mat MSresult;
Mat nut11[3];
MSresult = MotionSeg(video,video2);

/*Mat Frame, fgMask, bg, bfgMask, sfgMask;

int FrameNum = 0;

if (!video.isOpened()) {
printf("Reading vedio failed！\n");
return false;
}

Ptr<BackgroundSubtractorMOG2> bgSub = createBackgroundSubtractorMOG2(); //Define background minus object and initialization

while (video.read(Frame)) {
FrameNum++;
bgSub->apply(Frame, fgMask, 0.005);
bgSub->getBackgroundImage(bg); //get background image
blur(fgMask, sfgMask, Size(3, 3)); //smooth the foreground video
threshold(sfgMask, bfgMask, 127.5, 255, cv::THRESH_BINARY); //binary the foreground video

//display
imshow("Foreground mask", bfgMask);
imshow("Original video",Frame);
waitKey(10);

}
cout << "There are " << FrameNum << "frames in this video" << endl;*/
/*Mat nut1=imread("C:\\Users\\Administrator\\Desktop\\lab2\\washer3.bmp");
if(!nut1.data) {cout<<"Can't find image!";return -1;}
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
split(nut1,nut11);
findContours(nut11[0],contours,hierarchy,CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE);
cout<<"arclength is "<<endl;
for (int i = 0; i < (int)contours.size(); i++) {
double nut1Arc=arcLength(contours[i], true);
cout<<nut1Arc<<endl;
}
cout<<"area is "<<endl;
double area = contourArea(contours[0]);
double area1 = contourArea(contours[1]);
//double area2 = contourArea(contours[2]);
cout<<area<<","<<area1<<endl;
Mat contoursnut1(nut11[0].rows,nut11[0].cols,CV_8U,Scalar(255));

drawContours(contoursnut1,contours,0,Scalar(0),3);
drawContours(contoursnut1,contours,1,Scalar(0),3);
drawContours(contoursnut1,contours,2,Scalar(0),3);

imshow("contoursnut1", contoursnut1);
waitKey(0);*/
return 0;

}

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