// ConsoleApplication1.cpp : 定义控制台应用程序的入口点。
//
#include "stdafx.h"
#include <iostream>
//OpenCV核心库头文件
#include <opencv2\core\core.hpp>
//OpenCV图形处理头文件
#include <opencv2\highgui\highgui.hpp>
#include "opencv2\opencv.hpp"
//OpenCV核心动态链接库，和core.hpp头文件对应，d代表调试版本
#pragma comment(lib,"opencv_core249d.lib")
//OpenCV图形处理动态链接库，和highgui.hpp头文件对应，d代表调试版本
#pragma comment(lib,"opencv_highgui249d.lib")
#pragma comment(lib,"opencv_video249d.lib")
#pragma comment(lib,"opencv_imgproc249d.lib")
int test_0()
{
//窗口名称
std::string windowName = "HelloWorld";
//图像名称
std::string imgFile = "opencv-logo.png";
//读入图像
cv::Mat image = cv::imread(imgFile);
//如果无法读取图形
if(!image.data)
{
std::cout << "无法打开图像文件" <<std::endl;
system("PAUSE");//暂停窗口
return -1;
}
//创建一个新窗口
cv::namedWindow(windowName);
//将图像显示都新创建的窗口中
cv::imshow(windowName,image);
//等待，直到用户按任意键时退出
cv::waitKey(0);
}
void saturate_sv(IplImage* img)
{
for ( int y = 0; y < img->height; y++ ){
uchar* ptr = (uchar*)(img->imageData + y * img->widthStep);
for ( int x = 0; x < img->width; x++ ){
ptr[3*x + 1] = 255;
ptr[3*x + 2] = 255;
}
}
}
void test_1()
{
IplImage *img = cvLoadImage("opencv-logo.png");
saturate_sv(img);
cvNamedWindow("Example",CV_WINDOW_AUTOSIZE);
cvShowImage("Example", img);
cvWaitKey(0);//让程序暂停
cvReleaseImage(&img);
cvDestroyWindow("Example");
}
/////////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////
//播放视频
void test_2()
{
cvNamedWindow("demo2",CV_WINDOW_AUTOSIZE);
CvCapture* capture = cvCreateFileCapture("01-上一次课程复习_.avi");
IplImage* frame;
while(1){
frame = cvQueryFrame( capture );
if ( !frame ) break;
cvShowImage("demo2",frame);
char c = cvWaitKey(33);
if( c == 27 ) break;// esc ASCII
}
cvWaitKey(0);//让程序暂停
cvReleaseCapture( &capture );
cvDestroyWindow("demo2");
}
/////////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////
int g_slider_position = 0;
CvCapture *g_capture = NULL;
void onTrackbarSlider(int pos)
{
cvSetCaptureProperty(g_capture,CV_CAP_PROP_POS_FRAMES,pos);
}
// 显示进度条
void test_03()
{
cvNamedWindow("demo3",CV_WINDOW_AUTOSIZE);
g_capture = cvCreateFileCapture("01-上一次课程复习_.avi");
int frames = (int)cvGetCaptureProperty(g_capture,CV_CAP_PROP_FRAME_COUNT);
if ( frames != 0 ){
cvCreateTrackbar("position","demo3",&g_slider_position,frames,onTrackbarSlider);
}
IplImage* frame;
while(1){
frame = cvQueryFrame( g_capture );
if ( !frame ) break;
cvShowImage("demo3",frame);
char c = cvWaitKey(33);
if( c == 27 ) break;// esc ASCII
}
cvWaitKey(0);//让程序暂停
cvReleaseCapture( &g_capture );
cvDestroyWindow("demo3");
}
/////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////
//载入一幅图像进行平滑处理
void test_04(IplImage* image)
{
// create some windows to show the input and output image in
cvNamedWindow("demo4-in");
cvNamedWindow("demo4-out");
// create a window to show our input image
cvShowImage("demo4-in",image);
// create an image to hold the smoothed output
IplImage* out = cvCreateImage(cvGetSize(image),IPL_DEPTH_8U,3);
// do the smoothing
cvSmooth(image, out, CV_GAUSSIAN, 3, 3);
cvShowImage("demo4-out",out);
// be tidy
cvReleaseImage(&out);
cvWaitKey(0);//让程序暂停
cvDestroyWindow("demo4-in");
cvDestroyWindow("demo4-out");
}
// 创建一副宽度和高度尺寸为输入的一半的图像
IplImage* doPryDown(IplImage* in, int filter = CV_GAUSSIAN_5x5)
{
// assert(in->width % 2 == 0 && in->height % 2 == 0);
IplImage* out = cvCreateImage(cvSize(in->width/2, in->height/2), in->depth, in->nChannels);
cvPyrDown(in, out);
return out;
}
// Canny 边缘检测将输出写入一个单通道（灰度级）图像
//边缘检测器产生一个与尺寸输入大小相同，但是只有一个通道的图像
IplImage* doCanny(IplImage* in, double lowThresh, double highThresh, double aperture)
{
if ( in->nChannels != 1 )
return 0;
IplImage* out = cvCreateImage(cvSize( in->width, in->height ), IPL_DEPTH_8U, 1);
cvCanny(in, out, lowThresh, highThresh, aperture);
return out;
}
// 写入AVI视频文件
void test_05()
{
CvCapture* capture = 0;
capture = cvCreateFileCapture("01-上一次课程复习_.avi");
IplImage* bgr_frame = cvQueryFrame(capture);
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("hello.avi", CV_FOURCC('M','J','P','G'), fps, size);
IplImage* logpolar_frame = cvCreateImage(size, IPL_DEPTH_8U, 3);
std::cout << "while" << std::endl;
while( (bgr_frame = cvQueryFrame(capture)) != NULL ){
std::cout << "enter while" << std::endl;
CvPoint2D32f temp;
temp.x = bgr_frame->width/2;
temp.y = bgr_frame->height/2;
cvLogPolar(bgr_frame, logpolar_frame, temp, 40, CV_INTER_LINEAR + CV_WARP_FILL_OUTLIERS);
cvWriteFrame( writer, logpolar_frame );
}
std::cout << "endl" << std::endl;
cvReleaseVideoWriter(&writer);
cvReleaseImage(&logpolar_frame);
cvReleaseCapture(&capture);
}
// 矩阵和图像类型
void test_06()
{
float vals[] = { 0.866600, -0.522200, 0.522200, -0.866600 };
CvMat rotmat;
cvInitMatHeader( &rotmat, 2, 2, CV_32FC1, vals );
CvMat* mat_ptr = cvCreateMat(2, 2, CV_32FC1);
float elem = 7.7;
*((float*)CV_MAT_ELEM_PTR(*mat_ptr,2,2)) = elem;
}
int _tmain(int argc, _TCHAR* argv[])
{
//IplImage *img = cvLoadImage("opencv-logo.png");
//IplImage *img1 = doPryDown(img);
//IplImage *img2 = doPryDown(img1);
//IplImage *img3 = doCanny(img2, 10, 100, 3);
test_1();
return 0;
}
