学习OpenCV第四章第一题答案

// learningOpencv_7.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"
#include "cv.h"
#include "highgui.h"

int main(int argc, char** argv)
{
CvCapture* capture = cvCreateFileCapture("E:\\数字信号处理\\1离散时间信号与系统.flv");
cvNamedWindow("origin",CV_WINDOW_AUTOSIZE);
cvNamedWindow("gray",CV_WINDOW_AUTOSIZE);
cvNamedWindow("canny",CV_WINDOW_AUTOSIZE);
cvNamedWindow("totle", CV_WINDOW_AUTOSIZE);

CvSize size = cvSize((int)cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_WIDTH),
(int)cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_HEIGHT));

IplImage* gray = cvCreateImage(size,IPL_DEPTH_8U,1);
IplImage* gray3 = cvCreateImage(size,IPL_DEPTH_8U,3);//三通道灰度图像
IplImage* cannyImage = cvCreateImage(size,IPL_DEPTH_8U,1);
IplImage* cannyImage3 = cvCreateImage(size,IPL_DEPTH_8U,3);//三通道canny图像
//size.width = size.width*3;
IplImage* totle = cvCreateImage(cvSize(size.width*3,size.height),IPL_DEPTH_8U, 3);
cvZero(totle);

while (1)
{
IplImage* frame = cvQueryFrame(capture);

if (!frame)
{
return -1;
}

cvShowImage("origin",frame);

cvConvertImage(frame,gray,1);
gray->origin=1;

cvShowImage("gray",gray);

//做canny运算
//canny只能处理单通道图像
if (gray->nChannels != 1)
{
break;
}
cvCanny(gray,cannyImage,100,150,3);
//printf("cannyImage.origin:%d\n",cannyImage->origin);
cannyImage->origin=1;

cvShowImage("canny",cannyImage);
cvCvtColor(cannyImage,cannyImage3,CV_GRAY2BGR);
cvCvtColor(gray,gray3,CV_GRAY2BGR);
#if 0
IplImage* img1 = cvCreateImageHeader(size,frame->depth,3);
IplImage* img2 = cvCreateImageHeader(size,frame->depth,3);
IplImage* img3 = cvCreateImageHeader(size,frame->depth,3);
img1->origin = 1;
img1->widthStep = totle->widthStep;//这里注意，因为img1要成为在大图中的一部分，所以是大图每行字节长

img2->origin =1;
img2->widthStep = totle->widthStep;

img3->origin = 1;
img3->widthStep = totle->widthStep;

cvCvtColor(gray,gray3,CV_GRAY2BGR);
cvCvtColor(cannyImage,cannyImage3,CV_GRAY2BGR);

img1->imageData = totle->imageData; //第一个指向大图的开始处，即第一行
cvCopy(frame,img1);

img2->imageData = totle->imageData + frame->widthStep;//这里很关键，注意字节排列问题，所以不能用width
cvCopy(gray3,img2);

img3->imageData = totle->imageData + 2*frame->widthStep;
cvCopy(cannyImage3,img3);

cvShowImage("totle",totle);
CvFont font  = cvFont(10.0,1);
cvInitFont(&font,CV_FONT_HERSHEY_SCRIPT_SIMPLEX,0.5f,0.5f,0,1);
cvPutText(totle,"Frame",cvPoint(10,200),&font,cvScalar(0,0,255));
cvPutText(totle,"Frame_gray",cvPoint(10+size.width,200),&font,cvScalar(0,0,255));
cvPutText(totle,"Frame_canny",cvPoint(10+size.width*2,200),&font,cvScalar(0,0,255));
#endif
#if 1
for(int i=0;i<totle->height;i++)
{
for(int j=0;j<totle->width;j++)
{
if(j<totle->width/3)
{
char *p1;
p1=totle->imageData+i*totle->widthStep+j*3;
char *p2;
p2=frame->imageData+i*frame->widthStep+j*3;
*p1=*p2;
*(p1+1)=*(p2+1);
*(p1+2)=*(p2+2);
}
else if(j>=(totle->width/3)*2)
{
char *p1;
p1=totle->imageData+i*totle->widthStep+j*3;
char *p2;
p2=cannyImage3->imageData+i*cannyImage3->widthStep+j*3;
*p1=*p2;
*(p1+1)=*(p2+1);
*(p1+2)=*(p2+2);

}
else
{
char *p1;
p1=totle->imageData+i*totle->widthStep+j*3;
char *p2;
p2=gray3->imageData+i*gray3->widthStep+j*3;
*p1=*p2;
*(p1+1)=*(p2+1);
*(p1+2)=*(p2+2);

}

}

}
cvShowImage("totle",totle);
CvFont font  = cvFont(20.0,3);
cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX,0.5f,0.5f,2,1);
cvPutText(totle,"Frame",cvPoint(10,200),&font,cvScalar(255,0,0));
cvPutText(totle,"Frame_gray",cvPoint(10+size.width,200),&font,cvScalar(0,255,0));
cvPutText(totle,"Frame_canny",cvPoint(10+size.width*2,200),&font,cvScalar(0,0,255));

cvShowImage("totle",totle);
#endif
char c = cvWaitKey(33);
if (c == 27)
{
break;
}

}

cvReleaseCapture(&capture);
cvReleaseImage(&gray);
cvReleaseImage(&cannyImage);
cvReleaseImage(&totle);
cvReleaseImage(&gray3);
cvReleaseImage(&cannyImage3);
cvDestroyAllWindows();

return 1;

}