OpenCV學(xué)習(xí)之2

初次接觸OpenCV

在用OpenCV做一些東西之前，要先配置一下開發(fā)環(huán)境，由于我的常使用的是Qt ，就以Qt作為例子。

這是我的pro配置：

#-------------------------------------------------
#
#?Project?created?by?QtCreator?2016-04-09T11:40:17
#
#-------------------------------------------------

QT???????+=?core

QT???????-=?gui

TARGET?=?Example4
CONFIG???+=?console
CONFIG???-=?app_bundle

TEMPLATE?=?app

INCLUDEPATH?+=?-L?D:OpenSourceopencvbuildinclude?
???????????????-L?D:OpenSourceopencvbuildincludeopencv?
???????????????-L?D:OpenSourceopencvbuildincludeopencv2
LIBS?+=?D:OpenSourceopencvbuildx86vc12libopencv_core2410.lib
LIBS?+=?D:OpenSourceopencvbuildx86vc12libopencv_highgui2410.lib
LIBS?+=?D:OpenSourceopencvbuildx86vc12libopencv_imgproc2410.lib
LIBS?+=?D:OpenSourceopencvbuildx86vc12libopencv_photo2410.lib

SOURCES?+=?main.cpp

INCLUDEPATH 中是必要的頭文件包含，使用的是整體文件夾包含，LIBS是需要的LIB，使用的具體路徑。

下面程序演示了對圖片的一些簡單處理，包括放大，縮小，平滑，和邊緣檢測并輸出一個單通道的圖像

#include#include?"iostream"
#include?"cxcore.h"
#include?"cv.h"
#include?"highgui.h"

//對圖片進行縮操作
IplImage*?doPyrDown(IplImage*?in,?int?filter?=?IPL_GAUSSIAN_5x5)
{
????IplImage*?out?=?cvCreateImage(cvSize(in->width/2,in->height/2),
??????????????????????????????????in->depth,
??????????????????????????????????in->nChannels);
????cvPyrDown(in,out);
????return?out;
}
//對圖片進行放操作
IplImage*?doPyrUp(IplImage*?in,?int?filter?=?IPL_GAUSSIAN_5x5)
{
????IplImage*?out?=?cvCreateImage(cvSize(in->width?*?2,in->height?*?2),
??????????????????????????????????in->depth,
??????????????????????????????????in->nChannels);
????cvPyrUp(in,out);
????return?out;
}
//進行邊緣檢測輸出一個單通道圖像（灰色）
IplImage*?doCanny(IplImage*?in,double?lowThresh,double?highThresh,double?aperture)
{
????if(in->nChannels?!=?1)
????????return?0;

????IplImage*?out?=?cvCreateImage(cvGetSize(in),IPL_DEPTH_8U,1);

????cvCanny(in,out,lowThresh,highThresh,aperture);
????return?out;
}

int?main(int?argc,?char**?argv)
{
????QCoreApplication?a(argc,?argv);

????//Create?four?windows?to?show?our?input?image?and?output?iamge
????cvNamedWindow("Example4_in",CV_WINDOW_AUTOSIZE);
????cvNamedWindow("Example4_out1",CV_WINDOW_AUTOSIZE);
????cvNamedWindow("Example4_out2",CV_WINDOW_AUTOSIZE);
????cvNamedWindow("Example4_out3",CV_WINDOW_AUTOSIZE);
????cvNamedWindow("Example4_out4",CV_WINDOW_AUTOSIZE);

????//show?the?input?image
????IplImage*?inImage?=?cvLoadImage("C:/Users/Administrator/Documents/Example4/debug/test.png");
????cvShowImage("Example4_in",inImage);

????//do?the?pyrdown?and?show?the?image
????IplImage*?outImage1?=?doPyrDown(inImage);
????cvShowImage("Example4_out1",outImage1);

????//do?the?pyrup?and?show?the?image
????IplImage*?outImage2?=?doPyrUp(inImage);
????cvShowImage("Example4_out2",outImage2);

????//do?the?smoothing?and?show?the?smoothed?image
????IplImage*?outImage3?=?cvCreateImage(cvGetSize(inImage),IPL_DEPTH_8U,3);
????cvSmooth(inImage,outImage3,CV_GAUSSIAN,3,3);
????cvShowImage("Example4_out3",outImage3);

????//do?the?canny
????IplImage*?outImage4?=?doCanny(inImage,10,100,3);
????cvShowImage("Example4_out4",outImage4);

????//Be?tidy
????cvWaitKey(0);
????cvReleaseImage(&outImage1);
????cvReleaseImage(&outImage2);
????cvReleaseImage(&outImage3);
????cvReleaseImage(&outImage4);
????cvDestroyWindow("Example4_in");
????cvDestroyWindow("Example4_out1");
????cvDestroyWindow("Example4_out2");
????cvDestroyWindow("Example4_out3");
????cvDestroyWindow("Example4_out4");

????return?a.exec();
}

下面程序演示了對于視頻的打開，并復(fù)制

#include#include?"iostream"
//OpenCV
#include"cxcore.h"
#include?"cv.h"
#include?"highgui.h"

/****************************************************************

??首先打開一個視頻文件，讀取文件內(nèi)容，將每一幀圖像轉(zhuǎn)化為對數(shù)
??極坐標(biāo)格式（就像你的眼睛真正能看到的），最后將轉(zhuǎn)化后的圖像
??序列寫入新的視頻文件中

*****************************************************************/

int?main(int?argc,?char?*argv[])
{
????QCoreApplication?a(argc,?argv);

????CvCapture*?capture?=?0;
????capture?=?cvCreateFileCapture(argv[1]);//input?video
????if(!capture)
????{
????????return?-1;
????}

????IplImage*?bgr_frame?=?cvQueryFrame(capture);//init?the?video?read
????double?fps?=?cvGetCaptureProperty(capture,
??????????????????????????????????????CV_CAP_PROP_FPS);
????CvSize?size?=?cvSize(
????????????????(int)cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_WIDTH),
????????????????(int)cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_HEIGHT));
????CvVideoWriter*?writer?=?cvCreateVideoWriter(argv[2],
????????????????????????????????????????????????CV_FOURCC('M','J','P','G'),
????????????????????????????????????????????????fps,
????????????????????????????????????????????????size);
?????IplImage*?logpolar_frame?=?cvCreateImage(
?????????????????size,
?????????????????IPL_DEPTH_8U,
?????????????????3);
/*******************************************************************?
?????void?cvLogPolar(?const?CvArr*?src,?
??????????????????????CvArr*?dst,?
??????????????????????CvPoint2D32f?center,?
??????????????????????double?M,?
??????????????????????int?flags=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS?);
src?輸入圖像。?dst?輸出圖像。?center?變換的中心，輸出圖像在這里最精確。?M?幅度的尺度參數(shù)，見下面公式。?flags?插值方法和以下選擇標(biāo)志的結(jié)合
CV_WARP_FILL_OUTLIERS?-填充輸出圖像所有像素，如果這些點有和外點對應(yīng)的，則置零。
CV_WARP_INVERSE_MAP?-?表示矩陣由輸出圖像到輸入圖像的逆變換，并且因此可以直接用于像素插值。否則，函數(shù)從map_matrix中尋找逆變換。
fillval?用于填充外點的值。

此函數(shù)模仿人類視網(wǎng)膜中央凹視力，并且對于目標(biāo)跟蹤等可用于快速尺度和旋轉(zhuǎn)變換不變模板匹配。
************************************************************************/
??????????????????????
?????while(?bgr_frame?!=?NULL)
?????{
?????????cvLogPolar(bgr_frame,logpolar_frame,
????????????????????cvPoint2D32f(bgr_frame->width/2,
????????????????????????????????bgr_frame->height/2),
????????????????????40,
????????????????????CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS);
?????????cvWriteFrame(writer,logpolar_frame);
?????}
?????cvReleaseVideoWriter(&writer);
?????cvReleaseImage(&logpolar_frame);
?????cvReleaseCapture(&capture);

????return?a.exec();
}

在工程構(gòu)建之后，要想運行成功，必須把DLL拷貝到debug中去。