《学习opencv》第四章课后习题1

本人自己做的： #include "stdafx.h" #include<opencv/cv.h> #include<opencv/highgui.h> int main() { //a.1从视频中趣图并显示。 CvCapture* capture = cvCreateFileCapture("C:\\test.avi"); IplImage* frame= cvQueryFrame( capture ); if( !frame ) return -1; cvNamedWindow("imagefromviedo", CV_WINDOW_AUTOSIZE ); cvShowImage("imagefromviedo", frame ); //a.2将图转换为灰度图 IplImage* gray=cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,1); cvCvtColor(frame,gray,CV_BGR2GRAY); cvNamedWindow("convert2gray", CV_WINDOW_AUTOSIZE ); cvShowImage("convert2gray", gray ); //a.3对图像做canny边缘检测 IplImage* toCanny=cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,1); cvCanny(gray,toCanny,50,150,3); cvNamedWindow("Canny",CV_WINDOW_AUTOSIZE); cvShowImage("Canny", toCanny); //b.三合一 IplImage* merge=cvCreateImage(cvSize(3*frame->width,frame->height),IPL_DEPTH_8U,3); cvSetZero(merge); CvRect rect1=cvRect(0,0,frame->width,frame->height); cvSetImageROI(merge,rect1); frame->nChannels =3; cvCopy(frame,merge,NULL); cvResetImageROI(merge); CvRect rect2=cvRect(frame->width,0,frame->width,frame->height); cvSetImageROI(merge,rect2); gray->nChannels =3; cvCopy(gray,merge,NULL); cvResetImageROI(merge); CvRect rect3=cvRect(2*frame->width,0,frame->width,frame->height); cvSetImageROI(merge,rect3); toCanny->nChannels =3; cvCopy(toCanny,merge,NULL); cvResetImageROI(merge); //c.加标志 CvFont textfont = cvFont(10.0,1); cvInitFont(&textfont, CV_FONT_HERSHEY_SIMPLEX, 0.5f, 0.5f, 0, 1); cvPutText(merge, "Frame", cvPoint(10,20), &textfont, cvScalar(0,0,255)); cvPutText(merge, "Gray", cvPoint(frame->width+10,20), &textfont, cvScalar(255,0,0)); cvPutText(merge, "toCanny", cvPoint(frame->width*2+10, 20), &textfont, cvScalar(0,255,0)); cvNamedWindow("merge", CV_WINDOW_AUTOSIZE ); cvShowImage("merge", merge ); cvWaitKey(0); cvDestroyWindow("merge"); cvReleaseImage( &merge ); cvReleaseCapture( &capture ); cvDestroyWindow("imagefromviedo"); cvReleaseImage( &frame ); cvDestroyWindow("convert2gray"); cvReleaseImage( &gray ); cvDestroyWindow("Canny"); cvReleaseImage( &toCanny ); return 0; /*//a.1从视频中趣图并显示。 CvCapture* capture = cvCreateFileCapture("c:\\test.avi"); IplImage* frame= cvQueryFrame( capture ); if( !frame ) return -1; cvNamedWindow("imagefromviedo", CV_WINDOW_AUTOSIZE ); cvShowImage("imagefromviedo", frame ); //a.2将图转换为灰度图 IplImage* gray=cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,1); IplImage* image_gray=cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,3);//用于合并显示的灰度图 cvCvtColor(frame,gray,CV_BGR2GRAY); cvCvtColor(gray,image_gray,CV_GRAY2BGR); cvNamedWindow("convert2gray", CV_WINDOW_AUTOSIZE ); cvShowImage("convert2gray", image_gray ); //a.3对图像做canny边缘检测 IplImage* toCanny=cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,1); IplImage* image_toCanny=cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,3);//用于合并显示的Canny边缘检测图 cvCanny(gray,toCanny,50,150,3); cvCvtColor(toCanny,image_toCanny,CV_GRAY2BGR); cvNamedWindow("Canny",CV_WINDOW_AUTOSIZE); cvShowImage("Canny",image_toCanny); //b.三合一 IplImage* merge=cvCreateImage(cvSize(3*frame->width,frame->height),IPL_DEPTH_8U,3); cvSetZero(merge); CvRect rect1=cvRect(0,0,frame->width,frame->height); cvSetImageROI(merge,rect1); cvCopy(frame,merge,NULL); cvResetImageROI(merge); CvRect rect2=cvRect(frame->width,0,frame->width,frame->height); cvSetImageROI(merge,rect2); cvCopy(image_gray,merge,NULL); cvResetImageROI(merge); CvRect rect3=cvRect(2*frame->width,0,frame->width,frame->height); cvSetImageROI(merge,rect3); cvCopy(image_toCanny,merge,NULL); cvResetImageROI(merge); cvNamedWindow("merge"); cvShowImage("merge",merge); cvWaitKey(0); cvReleaseCapture( &capture ); cvReleaseImage( &frame ); cvDestroyWindow("imagefromviedo"); cvReleaseImage( &gray ); cvReleaseImage( &image_gray ); cvDestroyWindow("convert2gray"); cvReleaseImage( &toCanny ); cvReleaseImage( &image_toCanny ); cvDestroyWindow("Canny"); cvReleaseImage( &merge ); cvDestroyWindow("merge"); return 0;*/ }