opencv摄像头捕获识别颜色

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我是靠谱客的博主懵懂豌豆，这篇文章主要介绍opencv摄像头捕获识别颜色，现在分享给大家，希望可以做个参考。

本文实例为大家分享了opencv摄像头捕获识别颜色的具体代码，供大家参考，具体内容如下

复制代码

#include "highgui.h"  
#include "iostream"
using namespace std;
 
int main() 
{ 
  CvCapture* pCap = cvCreateCameraCapture(1 );//这里-1也可以，不过我的电脑装的有CyberLink YouCam软件，  
  int flag=0;                       //OpenCV会默认调用该摄像头，而不调用系统的驱动  
 
 IplImage* frame =NULL;
 
  if (cvCreateCameraCapture == NULL) 
  { 
    return(0); 
  } 
 
  cvNamedWindow("Camera",CV_WINDOW_FULLSCREEN); 
 
  while ((frame = cvQueryFrame(pCap)) != 0 && cvWaitKey(20) != 27)  
  { 
    frame = cvQueryFrame(pCap);
 //cout<<frame->width<<" "<<frame->height<<endl;
 flag=0;
 for(int x=0;x<frame->height;x++)
 {
 for(int y=0;y<frame->width*3;y++)
 {
 //CV_IMAGE_ELEM(frame,uchar,x,y)=255;
  if( ((uchar*)(frame->imageData+x*frame->widthStep))[y*frame->nChannels+0]<30 //b
  &&((uchar*)(frame->imageData + x*frame->widthStep))[y*frame->nChannels + 1]<30 //g
  &&((uchar*)(frame->imageData + x*frame->widthStep))[y*frame->nChannels + 2]>150) //r
    flag++;
 
 
 }
 }
 cout<<flag<<endl;
 if(flag>70000)
 cout<<"red"; 
 else
  cvShowImage("Camera",frame); 
  } 
 
  aaa: cvReleaseCapture(&pCap);  
  cvDestroyWindow("Camera");
 system("pause");
  return (0); 
}

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#include "highgui.h"  
#include "iostream"
using namespace std;
 
int main() 
{ 
  CvCapture* pCap = cvCreateCameraCapture(1 );//这里-1也可以，不过我的电脑装的有CyberLink YouCam软件，  
  int flag=0;                       //OpenCV会默认调用该摄像头，而不调用系统的驱动  
 
 IplImage* frame =NULL;
 
  if (cvCreateCameraCapture == NULL) 
  { 
    return(0); 
  } 
 
  cvNamedWindow("Camera",CV_WINDOW_FULLSCREEN); 
 
  while ((frame = cvQueryFrame(pCap)) != 0 && cvWaitKey(20) != 27)  
  { 
    frame = cvQueryFrame(pCap);
 //cout<<frame->width<<" "<<frame->height<<endl;
 flag=0;
 for(int x=0;x<frame->height;x++)
 {
 for(int y=0;y<frame->width*3;y++)
 {
 //CV_IMAGE_ELEM(frame,uchar,x,y)=255;
  if( ((uchar*)(frame->imageData+x*frame->widthStep))[y*frame->nChannels+0]<30 //b
  &&((uchar*)(frame->imageData + x*frame->widthStep))[y*frame->nChannels + 1]<30 //g
  &&((uchar*)(frame->imageData + x*frame->widthStep))[y*frame->nChannels + 2]>150) //r
    flag++;
 
 
 }
 }
 cout<<flag<<endl;
 if(flag>70000)
 cout<<"red"; 
 else
  cvShowImage("Camera",frame); 
  } 
 
  aaa: cvReleaseCapture(&pCap);  
  cvDestroyWindow("Camera");
 system("pause");
  return (0); 
}