目录
- 1. 概述
- 2. 实现2.1. 代码2.2. 解析
- 3. 结果
1. 概述
OpenCV自带了一部分常用的GUI功能,但是更多的图像处理功能需要其他GUI框架来辅助实现,这里通过QT来显示OpenCV读取的图片。
2. 实现
在QtCreator中新建一个基于QMainWindow的应用:
其中QImageShowWidget就是用于显示图像的控件,它是继承于QWidget实现的,可以将其嵌入QMainWindow的centralwidget中:
QImageShowWidget是自定义的显示组件,可以首先在QtCreator的设计师界面拖入一个QWidget,再通过“窗口部件提升”功能提升为QImageShowWidget。
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2.1. 代码
qimageshowwidget.h代码如下:
#ifndef QIMAGESHOWWIDGET_H
#define QIMAGESHOWWIDGET_H#include <QWidget>class QImageShowWidget : public QWidget
{Q_OBJECT
public:explicit QImageShowWidget(QWidget *parent = nullptr);~QImageShowWidget();bool LoadImage(const char* imagePath);signals:public slots:protected:void paintEvent(QPaintEvent *); //绘制void Release();private:uchar* winBuf; //窗口填充bufint winWidth; //窗口像素宽int winHeight; //窗口像素高int winBandNum; //波段数};#endif // QIMAGESHOWWIDGET_H
qimageshowwidget.cpp代码如下:
#include "qimageshowwidget.h"#include <opencv2\opencv.hpp>
#include <QPainter>
#include <QDebug>
#include <iostream>using namespace cv;
using namespace std;QImageShowWidget::QImageShowWidget(QWidget *parent) : QWidget(parent)
{//填充背景色setAutoFillBackground(true);setBackgroundRole(QPalette::Base);winBuf = nullptr;winWidth = rect().width();winHeight = rect().height();winBandNum = 3;
}QImageShowWidget::~QImageShowWidget()
{if(winBuf){delete[] winBuf;winBuf = nullptr;}
}bool QImageShowWidget::LoadImage(const char* imagePath)
{//从文件中读取成灰度图像Mat img = imread(imagePath);if (img.empty()){fprintf(stderr, "Can not load image %s\n", imagePath);return false;}Release();winWidth = rect().width();winHeight = rect().height();size_t winBufNum = (size_t) winWidth * winHeight * winBandNum;winBuf = new uchar[winBufNum];memset(winBuf, 255, winBufNum*sizeof(uchar));for (int ri = 0; ri < img.rows; ++ri){for (int ci = 0; ci < img.cols; ++ci){for(int bi = 0; bi < winBandNum; bi++){size_t m = (size_t) winWidth * winBandNum * ri + winBandNum * ci + bi;size_t n = (size_t) img.cols * winBandNum * ri + winBandNum * ci + bi;winBuf[m] = img.data[n];}}}update();return true;
}//重新实现paintEvent
void QImageShowWidget::paintEvent(QPaintEvent *)
{if(!winBuf){return;}QImage::Format imgFomat = QImage::Format_RGB888;QPainter painter(this);QImage qImg(winBuf, winWidth, winHeight, winWidth*winBandNum, imgFomat);painter.drawPixmap(0, 0, QPixmap::fromImage(qImg));
}void QImageShowWidget::Release()
{if(winBuf){delete[] winBuf;winBuf = nullptr;}
}
2.2. 解析
所有基于QWidget的类都可以重新实现界面重绘事件paintEvent(),它会在界面需要的时候(例如调用update())自动重绘。在这个事件函数中可以通过图形绘制接口QPainter绘制:
QImage::Format imgFomat = QImage::Format_RGB888;QPainter painter(this);
QImage qImg(winBuf, winWidth, winHeight, winWidth*winBandNum, imgFomat);
painter.drawPixmap(0, 0, QPixmap::fromImage(qImg));
可以看到QPainter绘制的其实是QImage对象,也就是重点是构造QImage这个对象。这个对象是由申请的内存winBuf来构建的。显示的图像是由宽、高以及波段组成的,需要将三维空间压缩为一维空间——简单来讲,内存的组成为RGBRGBRGB...,并且起点位置为左上角,由左至右,由上至下。
OpenCV读取的图像为Mat对象:
//从文件中读取成灰度图像
Mat img = imread(imagePath);
if (img.empty())
{fprintf(stderr, "Can not load image %s\n", imagePath);return false;
}
Mat对象可以通过data()方法直接访问读取的图像内存。而这块内存也是RGBRGBRGB...的结构组成,并且起点位置也是左上角,由左至右,由上至下。将其逐像素传入到申请的内存winBuf:
winWidth = rect().width();
winHeight = rect().height();
size_t winBufNum = (size_t) winWidth * winHeight * winBandNum;
winBuf = new uchar[winBufNum];
memset(winBuf, 255, winBufNum*sizeof(uchar));for (int ri = 0; ri < img.rows; ++ri)
{for (int ci = 0; ci < img.cols; ++ci){for(int bi = 0; bi < winBandNum; bi++){size_t m = (size_t) winWidth * winBandNum * ri + winBandNum * ci + bi;size_t n = (size_t) img.cols * winBandNum * ri + winBandNum * ci + bi;winBuf[m] = img.data[n];}}
}
3. 结果
通过界面加载一张图像,显示结果如下:
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