QT Creator+OpenCV实现图像灰度化的示例代码
作者：音视频开发老舅
这篇文章主要为大家详细介绍了QT如何利用Creator和OpenCV实现图像灰度化效果，文中的示例代码讲解详细，感兴趣的小伙伴可以尝试一下
Qt Creator是跨平台的 Qt IDE， Qt Creator 是 Qt 被 Nokia 收购后推出的一款新的轻量级集成开发环境（IDE）。此 IDE 能够跨平台运行，支持的系统包括 Linux（32 位及 64 位）、Mac OS X 以及 Windows。根据官方描述，Qt Creator 的设计目标是使开发人员能够利用 Qt 这个应用程序框架更加快速及轻易的完成开发任务。
下面是QT+QT creator+OpenCV图像灰度化源码
1）.pro文件
#-------------------------------------------------
#
#
#-------------------------------------------------
QT += core gui
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets
TARGET = myQTDemo
TEMPLATE = app
SOURCES += main.cpp\
mainwindow.cpp
HEADERS += mainwindow.h
FORMS += mainwindow.ui
INCLUDEPATH+=d:\opencv249\include\opencv\
d:\opencv249\include\opencv2\
d:\opencv249\include
LIBS+=d:\opencv249\lib\libopencv_calib3d249.dll.a\
d:\opencv249\lib\libopencv_contrib249.dll.a\
d:\opencv249\lib\libopencv_core249.dll.a\
d:\opencv249\lib\libopencv_features2d249.dll.a\
d:\opencv249\lib\libopencv_flann249.dll.a\
d:\opencv249\lib\libopencv_gpu249.dll.a\
d:\opencv249\lib\libopencv_highgui249.dll.a\
d:\opencv249\lib\libopencv_imgproc249.dll.a\
d:\opencv249\lib\libopencv_legacy249.dll.a\
d:\opencv249\lib\libopencv_ml249.dll.a\
d:\opencv249\lib\libopencv_objdetect249.dll.a\
d:\opencv249\lib\libopencv_video249.dll.a
2）.h文件
#ifndef MAINWINDOW_H
#define MAINWINDOW_H
#include <QMainWindow>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
namespace Ui {
class MainWindow;
}
class MainWindow : public QMainWindow
{
Q_OBJECT
public:
explicit MainWindow(QWidget *parent = 0);
~MainWindow();
cv::Mat image,image2;
QImage img;
private slots:
void on_pushButton_clicked();
void on_pushButton_2_clicked();
private:
Ui::MainWindow *ui;
};
#endif // MAINWINDOW_H
3）.cpp文件
#include "mainwindow.h"
#include "ui_mainwindow.h"
#include "mainwindow.h"
#include "ui_mainwindow.h"
#include <QString>
#include <QFileDialog>
#include <QMessageBox>
#include <opencv/cv.h>
#include <QTextCodec>
using namespace cv;
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
ui->setupUi(this);
}
MainWindow::~MainWindow()
{
delete ui;
}
void MainWindow::on_pushButton_clicked()
{
QString filename = QFileDialog::getOpenFileName(this,tr("Open Image"),"",tr("Image File(*.bmp *.jpg *.jpeg *.png)"));
QTextCodec *code = QTextCodec::codecForName("gb18030");
std::string name = code->fromUnicode(filename).data();
image = cv::imread(name);
if(!image.data)
{
QMessageBox msgBox;
msgBox.setText(tr("image data is null"));
msgBox.exec();
}
else
{
cv::cvtColor(image,image2,CV_BGR2RGB);
img = QImage((const unsigned char*)(image2.data),image.cols,image.rows, image.step, QImage::Format_RGB888);
ui->label->clear();
ui->label->setPixmap(QPixmap::fromImage(img));
//ui->processPushButton->setEnabled(true);
ui->label->resize(ui->label->pixmap()->size());
}
}
void MainWindow::on_pushButton_2_clicked()
{
// cv::flip(image,image,1);
Mat gray;
cvtColor(image,gray,CV_BGR2GRAY);
// cvtColor(gray,gray,CV_bg)
// imshow("li",gray);
// cv::cvtColor(image,image,CV_BGR2RGB);
// img = QImage((const unsigned char*)(image.data),image.cols,image.rows,image.cols*image.channels(), QImage::Format_RGB888);
img = QImage((const unsigned char*)(gray.data),gray.cols,gray.rows,gray.step, QImage::Format_Indexed8);
ui->label->setPixmap(QPixmap::fromImage(img));
}
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