/* 说明这种方法经过调试在vc下是可以的，但在codeblocks下不可以，问题出在height变量上，如果height的数值改的小些
则可以，但有部分图像未得到处理，而且使用cvSet()和cvGet()函数处理速度慢*/
#include
#include
#include
#include "cv.h"
#include "highgui.h"
IplImage * img0=NULL;
IplImage * img1=NULL;
IplImage * img2=NULL;
void onTrackerSlid(int pos)
{
int i,j;
CvScalar s0,s1,s2;
for(i=0;i
for(j=0;j
{
s0=cvGet2D(img0,i,j); // get the (i,j) pixel value
s1=cvGet2D(img1,i,j);
s2=cvGet2D(img2,i,j);
// for(k=0;k
{
s2.val[0]=0;
cvSet2D(img2,i,j,s2); // set the (i,j) pixel value
}
else
{
s2.val[0]=255;
cvSet2D(img2,i,j,s2);
}
}
cvShowImage( "result", img2 );
}
int main( int argc, char** argv )
{ int thresh = 80;
//载入图像
img0=cvLoadImage(argv[1],0);//不可以再一次用IplImage定义，因为其已经是全局变量
img1=cvLoadImage(argv[2],0);
img2=cvCreateImage(cvGetSize(img0),8,1);
// int channel = img->nChannels;
// printf("the image is %d X %d wiht %d channels",height,width,channel);
cvNamedWindow( "imge0", CV_WINDOW_AUTOSIZE);//创建窗口
cvNamedWindow( "imge1", CV_WINDOW_AUTOSIZE);
cvNamedWindow( "result", CV_WINDOW_AUTOSIZE);
cvShowImage( "imge0", img0 );//显示图像
cvShowImage( "imge1", img1 );
cvCreateTrackbar("threshold","result",&thresh,255,onTrackerSlid);
onTrackerSlid(thresh);
cvWaitKey(0); //等待按键
cvDestroyWindow( "Imge0" );//销毁窗口
cvDestroyWindow( "Imge1" );
cvDestroyWindow( "result" );
cvReleaseImage( &img0); //释放图像
cvReleaseImage( &img1);
cvReleaseImage( &img2);
return -1;
}
方法二：
/*#include
#include
#include
#include "cv.h"
#include "highgui.h"
IplImage * img0=NULL;
IplImage * img1=NULL;
IplImage * img2=NULL;
uchar *data0=NULL;
uchar *data1=NULL;
uchar *data2=NULL;
void onTrackerSlid(int pos)
{
int i,j;
int height = img0->height;
int width = img0->width;
int step = img0->widthStep/sizeof(uchar);
data0 = (uchar*)img0->imageData;
data1 = (uchar*)img1->imageData;
data2 = (uchar*)img2->imageData;
for(i=0;i
if(abs( data1[i*step+j+0]-data0[i*step+j+0])>pos)
data2[i*step+j+0] =255;
else
data2[i*step+j+0] = 0;
}
cvShowImage( "result", img2 );
}
说明：对于这一部分可以利用cv自带的函数实现图像相减和阈值处理，方法是：
增加一个IplImage 对象img3，并使用cvCreateImage将其初始化，将此部分换成如下代码：
cvAbsDiff(img1, img0, img2);//图像相减功能和使用 if(( data1[i*step+j+0]-data0[i*step+j+0])>pos)是一样的，没取绝对值
cvThreshold(img2, img3, pos, 255, CV_THRESH_BINARY);//阈值处理
cvShowImage( "result", img3 );//显示处理后的图像图像
int main( int argc, char** argv )
{ int thresh = 80;
//载入图像
img0=cvLoadImage(argv[1],0);
img1=cvLoadImage(argv[2],0);
img2=cvCreateImage(cvGetSize(img0),8,1);
cvSmooth(img0, img0, CV_GAUSSIAN, 3, 0, 0,0);//高斯滤波平滑图像
// int channel = img->nChannels;
// printf("the image is %d X %d wiht %d channels",height,width,channel);
cvNamedWindow( "imge0", CV_WINDOW_AUTOSIZE);//创建窗口
cvNamedWindow( "imge1", CV_WINDOW_AUTOSIZE);
cvNamedWindow( "result", CV_WINDOW_AUTOSIZE);
cvShowImage( "imge0", img0 );//显示图像
cvShowImage( "imge1", img1 );
cvCreateTrackbar("threshold","result",&thresh,255,onTrackerSlid);
onTrackerSlid(thresh);
cvWaitKey(0); //等待按键
cvDestroyWindow( "Imge0" );//销毁窗口
cvDestroyWindow( "Imge1" );
cvDestroyWindow( "result" );
cvReleaseImage( &img0); //释放图像
cvReleaseImage( &img1);
cvReleaseImage( &img2);
return -1;
}*/
方法三：
/*使用矩阵减法做图像帧差，其代码如下，和使用cv自带的函数差不多*/
#include
#include
#include
#include "cv.h"
#include "highgui.h"
IplImage * img0=NULL;
IplImage * img1=NULL;
CvMat * img2=NULL;
CvMat *img3=NULL;
void onTrackerSlid(int pos)
{
cvSub(img0, img1, img2,0);//图像相减
cvThreshold(img2, img3, pos, 255, CV_THRESH_BINARY);//阈值处理
cvShowImage( "result", img3 );//显示处理后的图像图像
}
int main( int argc, char** argv )
{ int thresh = 80;
//载入图像
img0=cvLoadImage(argv[1],0);
img1=cvLoadImage(argv[2],0);
img2=cvCreateMat(img0->height,img0->width,CV_8UC1);//矩阵指针的初始化，与cvCreareImage类似
img3=cvCreateMat(img0->height,img0->width,CV_8UC1);
cvSmooth(img0, img0, CV_GAUSSIAN, 3, 0, 0,0);//高斯滤波平滑图像
cvNamedWindow( "imge0", CV_WINDOW_AUTOSIZE);//创建窗口
cvNamedWindow( "imge1", CV_WINDOW_AUTOSIZE);
cvNamedWindow( "result", CV_WINDOW_AUTOSIZE);
cvShowImage( "imge0", img0 );//显示图像
cvShowImage( "imge1", img1 );
cvCreateTrackbar("threshold","result",&thresh,255,onTrackerSlid);
onTrackerSlid(thresh);
cvWaitKey(0); //等待按键
cvDestroyWindow( "Imge0" );//销毁窗口
cvDestroyWindow( "Imge1" );
cvDestroyWindow( "result" );
cvReleaseImage( &img0); //释放图像
cvReleaseImage( &img1);
cvReleaseMat( &img2);
cvReleaseMat( &img3);
return -1;
}
//其效果是不一样的，原因是cvSub只是将像素相减，并未对差值取绝对值*/