学习Opencv课后习题答案2.1利用Microsoft Visual Studio 2010打开D:\OpenCV2.1\VS2010\ OpenCV.sln文件，如图1示。
在“Solution Configuration”下选择“Debug”模式，右击解决方案，选择“Build Solution”进行编译，编译结束后结果显示如图2示。
再次右击文件“INSTALL”，选择“Rebuild Solution”进行再编译，编译后结果显示如图3示。
同理，“Release”模式和“Debug”模式操作相同（示图略）。
这样就产生了“Debug”和“Release”两个版本的库文件。
图1 载入解决方案OpenCV.sln图2 编译解决方案图3 再编译INSTALL2.2创建工程：Move实验，导入文件lkdemo.c，如图4示。
在PC机上安装摄像头，编译工程，运行程序如图5示。
键入“r”后显示图像如图6示；键入“n”后显示图像如图7示。
图4 创建工程图5 运行程序结果显示图6 跟踪初始化显示图7 夜间模式跟踪2.3#include "cv.h"#include "highgui.h"IplImage *DoPyDown(IplImage *in,int fliter = IPL_GAUSSIAN_5x5);main(int argc, char **argv){CvCapture * capture = 0;//创建窗口,显示缩放前的文件cvNamedWindow("AVI_Example",1);//创建窗口，显示缩放后的文件cvNamedWindow("AVI_After");//选择是从摄像头中读取还是从文件中读取if(argc==1){capture = cvCreateCameraCapture(0);}else{capture = cvCreateFileCapture("m.avi");}assert(capture!=NULL);//和下一句if作用相同if (!capture){return -1;}IplImage* bgr_frame = cvQueryFrame(capture);double fps = cvGetCaptureProperty(capture,CV_CAP_PROP_FPS);//得到要写入视频的宽高数据CvSize size = cvSize(((int)cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH))/2, ((int)cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT))/2);//下一句创建一个写入设备以便将视频流写入视频文件CvVideoWriter* writer = cvCreateVideoWriter("lgc.avi",-1,fps,size);IplImage* OutImage;IplImage* logpolar_frame = cvCreateImage(size,IPL_DEPTH_8U,3);//判断逐帧读取是否为空(是否读完)while((bgr_frame=cvQueryFrame(capture))!=NULL){//对视频进行转换，用此函数后录制的文件变形cvLogPolar(bgr_frame, logpolar_frame,cvPoint2D32f(bgr_frame->width/2,bgr_frame->height/2), 40,CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS);OutImage = DoPyDown(bgr_frame);//对图像进行翻转cvConvertImage(OutImage,OutImage,CV_CVTIMG_FLIP);//将处理后的视频写入文件cvWriteFrame(writer,OutImage);//显示视频cvShowImage("AVI_Example",bgr_frame);//显示缩放后的视频cvShowImage("AVI_After",OutImage/*logpolar_frame*/);//等待键盘事件char c=cvWaitKey(1);if (27==c){break;}}//释放资源cvReleaseVideoWriter(&writer);cvReleaseImage(&bgr_frame);cvReleaseImage(&OutImage);cvReleaseCapture(&capture);//销毁窗口cvDestroyWindow("AVI_Example");return(0);}//自定义函数的实现IplImage *DoPyDown(IplImage *in,int fliter/* = IPL_GAUSSIAN_5x5*/) {IplImage *out=cvCreateImage(cvSize(in->width/2,in->height/2),in->depth,in->nChannels);cvPyrDown(in,out,IPL_GAUSSIAN_5x5);return (out);}#include "stdio.h"#include "cxcore.h"#include "cv.h"#include "cxtypes.h"//连接lib文件#pragma comment(lib,"cv.lib")#pragma comment(lib,"cvcam.lib")#pragma comment(lib,"cxcore.lib")#pragma comment(lib,"highgui.lib")int main(int argc,char**argv){printf("*** a:给定一个负数，求其绝对值，四舍五入之后，求其极值\n"); double fushu = -12.6345;printf("给定的数:%f\n",fushu);double f=fabs(fushu);printf("其绝对值:%f\n",f);//四舍五入之后：cvRound()函数，int m = cvRound(f);printf("四舍五入之后:%d\n",m);printf("\n*** b:产生一些随机数:\n");int rng;CvRNG rng = cvRNG();for (int i=0;i<50;i++){//调用cvRandInt()函数，产生随机数printf("%d ",(uchar)cvRandInt(&rng));}printf("\n");//*** c Cvpoint2D32f类型到 CvPoint 类型的转换printf("\n*** c: Cvpoint2D32f 类型到 CvPoint 类型的转换:\n");CvPoint2D32f cpf;cpf=cvPoint2D32f(34.23564423,64.2545656);printf("%f,%f\n",cpf.x,cpf.y);CvPoint cp=cvPointFrom32f(cpf);printf("%d,%d\n",cp.x,cp.y);//*** d CvPoint 类型到 CvPoint2D32f类型的转换printf("\n*** d:CvPoint类型到 CvPoint2D32f类型的转换:\n");//定义CvPoint类型变量并调用构造函数初始化CvPoint point=cvPoint(234,53);printf("转换前的数据:%d,%d\n",point.x,point.y);//把CvPoint类型转换为CvPoint2D32f类型:cvPointTo2D32f函数CvPoint2D32f cpoint=cvPointTo32f(point);printf("转换后的数据:%f,%f\n\n",cpoint.x,cpoint.y);return 0;}3.2 源代码如下：#include<cv.h>#include<highgui.h>int main(){// IplImage* srcImg = NULL;CvMat* srcMat = cvCreateMat(100, 100, CV_8UC3); //100*100 3通道字节型cvSetZero(srcMat); //清零CvPoint cirPoint = cvPoint(50, 50); //圆心int radius = 40;//半径CvScalar cirColor = cvScalar(255, 0,0 );//蓝色cvCircle(srcMat, cirPoint, radius, cirColor); //画圆cvNamedWindow("Exam302");cvShowImage("Exam302", (IplImage*)srcMat);cvWaitKey(0);cvReleaseMat(&srcMat);cvDestroyWindow("Exam302");return 0;}编译运行结果如图8示。
