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开发环境：

Qt版本

实验要求

使用Qt 4.8以上版本实现OpenCV图像处理（结合Qt窗口实现如下截图案例）

开发注意

Mat和QLabel的展示QImage之间的相互转换，显示和获取图片

项目创建

关键：

基本代码

pro文件：

#-------------------------------------------------## Project created by QtCreator 2021-05-04T11:25:05##-------------------------------------------------QT       += core guigreaterThan(QT_MAJOR_VERSION, 4): QT += widgetsTARGET = OMO200903_opencvTEMPLATE = app# The following define makes your compiler emit warnings if you use# any feature of Qt which has been marked as deprecated (the exact warnings# depend on your compiler). Please consult the documentation of the# deprecated API in order to know how to port your code away from it.DEFINES += QT_DEPRECATED_WARNINGS# You can also make your code fail to compile if you use deprecated APIs.# In order to do so, uncomment the following line.# You can also select to disable deprecated APIs only up to a certain version of Qt.#DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000    # disables all the APIs deprecated before Qt 6.0.0CONFIG += c++11SOURCES += \        main.cpp \        widget.cppHEADERS += \        widget.hFORMS += \        widget.ui# Default rules for deployment.qnx: target.path = /tmp/$${
   TARGET}/binelse: unix:!android: target.path = /opt/$${
   TARGET}/bin!isEmpty(target.path): INSTALLS += targetINCLUDEPATH += D:/study_init/Qt_opencv/win10-opencv_3.4.2_Qt/opencv_3.4.2_Qt/includeLIBS += D:/study_init/Qt_opencv/win10-opencv_3.4.2_Qt/opencv_3.4.2_Qt/x86/bin/libopencv_*.dll

#ifndef WIDGET_H#define WIDGET_H# include 
   
    # include 
    
     # include 
     
      # include 
      
       # include 
       
        # include 
        
         # include 
         
          # include 
          
           # include 
           
            using namespace cv;using namespace std;namespace Ui { class Widget;}class Widget : public QWidget{ Q_OBJECTpublic: explicit Widget(QWidget *parent = nullptr); ~Widget(); void LabelDisplayMat(QLabel *label, cv::Mat &mat); void fileTomat(QString filepath,Mat &jpegimage); void clearDesLabel();private slots: void on_pushButton_2_clicked(); void on_Snowflakesptn_clicked(); void on_Gaussanblurptn_clicked(); void on_Medianfilterptn_clicked(); void on_Frostedgrassptn_clicked(); void on_Grayptn_clicked(); void on_Xyptn_clicked(); void on_Bilateralfuzzyptn_clicked(); void on_corrosionptn_clicked();private: Ui::Widget *ui;};#endif // WIDGET_H
           
          
         
        
       
      
     
    
   

#include "widget.h"#include "ui_widget.h"Widget::Widget(QWidget *parent) :    QWidget(parent),    ui(new Ui::Widget){
       ui->setupUi(this);}Widget::~Widget(){
       delete ui;}void Widget::on_pushButton_2_clicked(){
       QString curPath=QDir::currentPath();//获取系统当前目录    QString dlgTitle="打开一个文件"; //对话框标题    QString filter="图片文件(*.jpg *.png)"; //文件过滤器    QString aFileName=QFileDialog::getOpenFileName(this,dlgTitle,curPath,filter);    if (aFileName.isEmpty())        return;    ui->lineEdit->clear();    ui->lineEdit->setText(aFileName);    //创建一个image对象    QImage *img = new QImage;    //将图像资源载入对象，注意路径，可点进图片右键复制路径    img->load(ui->lineEdit->text());    //将图片放入label,使用setPixmap,注意指针*img    ui->src_label->setPixmap(QPixmap::fromImage(*img));}/** * 雪花屏 * @brief Widget::on_Snowflakesptn_clicked */void Widget::on_Snowflakesptn_clicked(){
       clearDesLabel();    Mat srcImage;    fileTomat(ui->lineEdit->text(),srcImage);    int row = srcImage.rows;//行    int col = srcImage.cols * srcImage.channels();//列 * 图片的通道数    for(int i = 0; i < row; i++)    {
           //每一行都是一个无符号的字符指针        uchar *data = srcImage.ptr
   
    (i);        for(int j = 0; j < col; j++)        {
               //雪花屏            int q = rand()%col;            data[q] = 155;//随机位置进行赋值155        }    }    LabelDisplayMat(ui->des_label, srcImage);}/** * 高斯模糊 * @brief Widget::on_Gaussanblurptn_clicked */void Widget::on_Gaussanblurptn_clicked(){
       clearDesLabel();    //源文件转mat数据    Mat srcImage;    fileTomat(ui->lineEdit->text(),srcImage);    Mat retImage;    //高斯模糊 将源文件处理写入目的文件mat    cv::GaussianBlur(srcImage,retImage,Size(5,5),0);    LabelDisplayMat(ui->des_label, retImage);}/** * 中值滤波 * @brief Widget::on_Medianfilterptn_clicked */void Widget::on_Medianfilterptn_clicked(){
       clearDesLabel();    //源文件转mat数据    Mat srcImage;    fileTomat(ui->lineEdit->text(),srcImage);    Mat retImage;    //中值滤波    cv::medianBlur(srcImage,retImage,5);    LabelDisplayMat(ui->des_label, retImage);}/** * 毛玻璃 * @brief Widget::on_Frostedgrassptn_clicked */void Widget::on_Frostedgrassptn_clicked(){
       clearDesLabel();    Mat srcimage;    fileTomat(ui->lineEdit->text(),srcimage);    RNG rng;    int random;    int num = 5;    for(int i = 0; i < srcimage.rows-num; i++)    {
           for(int j = 0; j < srcimage.cols-num; j++)//减，防止越界        {
              random = rng.uniform(0,num);           srcimage.at
    
     (i,j)[0] = srcimage.at
     
      (i+random,j+random)[0];           srcimage.at
      
       (i,j)[1] = srcimage.at
       
        (i+random,j+random)[1];           srcimage.at
        
         (i,j)[2] = srcimage.at
         
          (i+random,j+random)[2]; } } LabelDisplayMat(ui->des_label, srcimage);}/** * 灰度 * @brief Widget::on_Grayptn_clicked */void Widget::on_Grayptn_clicked(){ clearDesLabel(); //源文件转mat数据 Mat srcImage; fileTomat(ui->lineEdit->text(),srcImage); Mat retImage; //灰度处理 cvtColor(srcImage,retImage,CV_BGR2GRAY); LabelDisplayMat(ui->des_label, retImage);}/** * xy方向模糊 * @brief Widget::on_Xyptn_clicked */void Widget::on_Xyptn_clicked(){ clearDesLabel(); //源文件转mat数据 Mat srcImage; fileTomat(ui->lineEdit->text(),srcImage); Mat retImage; //XY模糊效果 cv::blur(srcImage,retImage,Size(10,10)); LabelDisplayMat(ui->des_label, retImage);}/** * 双边模糊 * @brief Widget::on_Bilateralfuzzyptn_clicked */void Widget::on_Bilateralfuzzyptn_clicked(){ clearDesLabel(); //源文件转mat数据 Mat srcImage; fileTomat(ui->lineEdit->text(),srcImage); Mat retImage; //双边模糊 cv::bilateralFilter(srcImage, retImage, 0, 100, 15, 4); LabelDisplayMat(ui->des_label, retImage);}/** * 腐蚀 * @brief Widget::on_corrosionptn_clicked */void Widget::on_corrosionptn_clicked(){ clearDesLabel(); //源文件转mat数据 Mat srcImage; fileTomat(ui->lineEdit->text(),srcImage); Mat retImage; //腐蚀 Mat element = cv::getStructuringElement(MORPH_RECT,Size(5,5)); cv::erode(srcImage,retImage,element);//利用结果进行腐蚀 LabelDisplayMat(ui->des_label, retImage);}//参数1-显示图像的Label，参数2-要显示的Matvoid Widget::LabelDisplayMat(QLabel *label, cv::Mat &mat){ cv::Mat Rgb; QImage Img; if (mat.channels() == 3)//RGB Img { cv::cvtColor(mat, Rgb, CV_BGR2RGB);//颜色空间转换 Img = QImage((const uchar*)(Rgb.data), Rgb.cols, Rgb.rows, Rgb.cols * Rgb.channels(), QImage::Format_RGB888); } else//Gray Img { Img = QImage((const uchar*)(mat.data), mat.cols, mat.rows, mat.cols*mat.channels(), QImage::Format_Indexed8); } label->setPixmap(QPixmap::fromImage(Img));}/** * 将图片文件读入到文件流，再解析成mat矩阵 * @brief Widget::fileTomat * @param filepath */void Widget::fileTomat(QString filepath,Mat &jpegimage){ QByteArray str = filepath.toLatin1(); char* filename = str.data(); std::ifstream file(filename, std::ios::binary); std::vector
          
            data; file >> std::noskipws; std::copy(std::istream_iterator
           
            (file), std::istream_iterator
            
             (), std::back_inserter(data)); jpegimage = imdecode(Mat(data), CV_LOAD_IMAGE_COLOR); file.close();}void Widget::clearDesLabel(){ ui->des_label->clear();}
            
           
          
         
        
       
      
     
    
   

效果展示

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