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影片教學: C++ Qt 05 - Displaying Windows

瀏覽影像1時希望與影像2相同位置做比較

開啟影像1直接複製一份給影像2, 方便做影像1(原始)和影像2(處理過後)的比較

mainwindow.cpp的實作如下:

事件篩選 EventFilter
qApp->installEventFilter(this);

bool MainWindow::eventFilter(QObject *obj, QEvent *event)
{
    QString str;
    QMouseEvent *mouseEvent = static_cast<QMouseEvent*>(event);
    QPoint pt = mouseEvent->pos();
    unsigned int x, y;
    unsigned char r, g, b;
    x = pt.x()/scaleFactor;
    y = pt.y()/scaleFactor;
    switch(event->type())
    {
        case QEvent::MouseMove:
            mouseEvent = static_cast<QMouseEvent*>(event);
        // 判斷停留在視窗1或是視窗2
        switch(ui->tabWidget->currentIndex())
        {
        case 0:
            str = "視窗1, 解析:" + QString::number(img_rgb1.cols) + "x" + QString::number(img_rgb1.rows)
                 +", 座標:(" + QString::number(x) + ", "+ QString::number(y) + ")";
            getPixel(img_rgb1, y, x, &r, &g, &b);
            str += ", RGB = (" + QString::number(r) + "," + QString::number(g) + "," + QString::number(b) + ")";
            break;
        case 1:
            str = "視窗2, 解析:" + QString::number(img_rgb2.cols) + "x" + QString::number(img_rgb2.rows)
                 +", 座標:(" + QString::number(x) + ", "+ QString::number(y) + ")";
            getPixel(img_rgb2, y, x, &r, &g, &b);
            str += ", RGB = (" + QString::number(r) + "," + QString::number(g) + "," + QString::number(b) + ")";
            break;
        }
        if(img_rgb1.cols > 0 | img_rgb2.cols)
        ui->statusBar->showMessage(str);
        break;
    case QEvent::MouseButtonPress:
        str = "MouseButtonPress(" + QString::number(x) +", " + QString::number(y) + ")";
        ui->statusBar->showMessage(str);                           // 顯示座標
        break;
    case QEvent::MouseButtonRelease:
        str = "MouseButtonRelease(" + QString::number(x) +", " + QString::number(y) + ")";
        ui->statusBar->showMessage(str);                           // 顯示座標
        break;
    }
    return false;
}

img=imread('lena.jpg');
img2=rgb2hsv(img);
figure;
imshow(img);
figure;
imshow(img2);
imwrite(img2, 'lena_hsv.jpg');

今天在google有關shape matching的主題, 意外搜尋到OpenCV3.0.0.0的線上資料
我想關於OpenCV 3.0將提供<ShapeDistanceExtractor>的介面, 應該是補足目前OpenCV 2.4.6 所提供的cv::matchShapes

接續上一篇<輪廓搜尋 Finding contours using OpenCV2.4.6 with visual studio 2010>
這次將整合搜尋輪廓find contours範例至Image Viewer平台, 開啟上一篇的範例程式<find contour VS2010 OpenCV2.4.6>

/**
 * @function findContours_Demo.cpp
 * @brief Demo code to find contours in an image
 * @author OpenCV team
 */
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
using namespace cv;
using namespace std;
Mat src; Mat src_gray;
int thresh = 100;                        // scollbar預設值(門檻值)   
int max_thresh = 255;                    // scrollbar上限(max value)
RNG rng(12345);                          // Random Number Generator, 參考core.hpp
/// Function header
void thresh_callback(int, void* );       // 門檻回呼函式
/**
 * @function main
 */
int main( int arg, char** argv )
{
  /// Load source image and convert it to gray
     const char* filename = arg == 2 ? argv[1] : "sample.jpg";      
    src = imread(filename, 1 );
  /// Convert image to gray and blur it
  cvtColor( src, src_gray, CV_BGR2GRAY );      // 轉灰階
  blur( src_gray, src_gray, Size(3,3) );             // 模糊化
  /// Create Window
  const char* source_window = "Source";
  namedWindow( source_window, CV_WINDOW_AUTOSIZE );  // CV_WINDOW_AUTOSIZE:使用者無法調整視窗大小
  imshow( source_window, src );
  createTrackbar( " Canny thresh:", "Source", &thresh, max_thresh, thresh_callback );/* createTrackbar(scrollbar名稱,
                                                                                                       視窗標題,
                                                                                                       scrollbar預設值,
                                                                                                       scrollbar上限值,
                                                                                                       回呼函式)
                                                                                     */
  thresh_callback( 0, 0 );
  waitKey(0);
  return(0);
}
/**
 * @function thresh_callback
 */
void thresh_callback(int, void* )
{
  Mat canny_output;
  vector<vector<Point> > contours;
  vector<Vec4i> hierarchy;
  /// Detect edges using canny
  Canny( src_gray, canny_output, thresh, thresh*2, 3 );
  namedWindow( "Canny", CV_WINDOW_AUTOSIZE );     // Canny output
  imshow( "Canny", canny_output );
  /// Find contours
  findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
  /// Draw contours
  //Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );   // contour 輸出
  Mat drawing;
  src.copyTo(drawing);
 
  for( size_t i = 0; i< contours.size(); i++ )
     {
       Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
       drawContours( drawing, contours, (int)i, color, 3, 8, hierarchy, 0, Point() );
       /*
           void drawContours( InputOutputArray image,
                              InputArrayOfArrays contours,
                              int contourIdx,
                              const Scalar& color,
                              int thickness=1,
                              int lineType=8,
                              InputArray hierarchy=noArray(),
                              int maxLevel=INT_MAX,
                              Point offset=Point() );
       */
     }
  /// Show in a window
  namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
  imshow( "Contours", drawing );
}

Qt Creator新增一個專案<Qt圖形介面應用程式>
專案名稱: DateTimeGUI
-----------------------------------------------------------------------------------------------------------
開始利用QDate和QTime來進行日期時間的操作吧!
首先mainwindow.h加入下列標頭檔
#include <QDate>
#include <QTime>
#pragmaexecution_character_set("utf-8")