摄像头 Roberts 算子边缘检测 opencv

最新推荐文章于 2022-09-05 21:11:53 发布

原创最新推荐文章于 2022-09-05 21:11:53 发布 · 2.3k 阅读

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CC 4.0 BY-SA版权

文章标签：

#image #callback #include #video #null #c

本文展示了一个使用OpenCV库进行图像处理的示例代码，包括图像读取、显示及基本图像处理操作如高斯平滑等。此外，还介绍了如何从摄像头捕获图像帧并进行实时处理。

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#include "cvcam.h"
#include "cv.h"
#include "highgui.h"
#include <cstdio>

/*void example2_4(IplImage*image)
{
cvNamedWindow("Example4-in");
cvNamedWindow("Example4-out");
cvShowImage("Example4-in",image);

IplImage *out=cvCreateImage(cvGetSize(image),
         IPL_DEPTH_8U,//多少位
         3);//多少色
cvSmooth(image,out,CV_GAUSSIAN,3,3);
cvShowImage("Example4-out",out);
  cvReleaseImage(&out);
   cvWaitKey(0);
  cvDestroyWindow("Example4-in");
   cvDestroyWindow("Example4-out");
}*/

int g_slider_position = 0;
CvCapture* g_capture = NULL;
void onTrackbarSlide(int pos)
{
   //pos=g_slider_position;
      cvSetCaptureProperty(g_capture,CV_CAP_PROP_POS_FRAMES,pos);


}

/* void callback ( IplImage *image )//在图像上画一条水平蓝线
{
    IplImage *image1 = image;
    int i, j;
    assert ( image );
    for ( i = 0; i < image1->height/2; i += 10 )
    {
        for ( j = ( image1->widthStep ) * i;
              j < ( image1->widthStep ) * ( i + 1 );
              j += image1->nChannels )
        {
            image1->imageData[j] = ( char ) 255;
            image1->imageData[j + 1] = 0;
            image1->imageData[j + 2] = 0;
        }
    }
}*/
void main( int argc, char** argv )
{
// IplImage*img=cvLoadImage("C://zhongqiu.bmp",1);//
cvNamedWindow("Example1",CV_WINDOW_AUTOSIZE);
//g_capture=cvCreateFileCapture("F://opencv//aviConsoleOpencv//avid.avi");
//g_capture = cvCaptureFromCAM(0); // capture from video device #0
     g_capture = cvCreateCameraCapture(0);
int frames=(int)cvGetCaptureProperty(g_capture,CV_CAP_PROP_FRAME_COUNT);
if(frames!=0){
  cvCreateTrackbar("position",
   "Example1",
   &g_slider_position,
   frames,
   onTrackbarSlide);



}
IplImage*frame;
int height,width,step,channels;
uchar *data;
//uchar *data2;
int i,j,k,x,y,t;
// get the image data

while(1){
  frame=cvQueryFrame(g_capture);
  if(!frame) break;
// cvSetTrackbarPos("position","Example1", g_slider_position++);

      assert ( frame );
   height    = frame->height;
width     = frame->width;
step      = frame->widthStep;
channels = frame->nChannels;
data      = (uchar *)frame->imageData;
   /* for ( i = 0; i <frame->height; i += 10 )
    {
        for ( j = (frame->widthStep ) * i;
              j < ( frame->widthStep ) * ( i + 1 );
              j += frame->nChannels )
        {
            frame->imageData[j] = ( char ) 255;
            frame->imageData[j + 1] = 0;
            frame->imageData[j + 2] = 0;
        }
    }
*/

//以下是算子核心
   for(i=0;i<height;i++) {
    for(j=0;j<width;j++) {
     for(k=0;k<channels;k++){
               // data[i*step+j*channels+k]=255-data[i*step+j*channels+k];
      x=data[i*step+j*channels+k]-data[(i+1)*step+j*channels+k];
      y=data[i*step+j*channels+k]-data[i*step+(j+1)*channels+k];
      t=(int)(sqrt(x*x+y*y)+0.5);
      if(t>255)
       t=255;
      data[i*step+j*channels+k]=t;

     }
    }
   }

   //cvcamSetProperty ( 0, CVCAM_PROP_CALLBACK, callback );
     //example2_4(frame);
  cvShowImage("Example1",frame);
  char c=cvWaitKey(33);
  if(c==27) break;
}

//cvNamedWindow("Example1",0);
//cvShowImage("Example1",img);

cvReleaseCapture(&g_capture);
cvDestroyWindow("Example1");

}