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原博主博客地址:https://blog.csdn.net/qq21497936
原博主博客导航:https://blog.csdn.net/qq21497936/article/details/102478062
本文章博客地址:https://blog.csdn.net/qq21497936/article/details/107090002
红胖子(红模仿)的博文大全:开发技术集合(包含Qt实用技术、树莓派、三维、OpenCV、OpenGL、ffmpeg、OSG、单片机、软硬结合等等)持续更新中…(点击传送门)
Qt开发专栏:项目实战(点击传送门)
OpenCV开发专栏(点击传送门)
需求
做算法过程中,需要一个平台来实时查看效果,记录处理过程,可以一键查看效果;
OpenCV的各种算法在Qt效果调试;
持续升级版本,敬请期待...
原理
基于Qt的OpenCV开发,依托Qt作为界面,OpenCV进行图像处理。
涉及技术博文
《OpenCV开发笔记(三十四):红胖子带你傻瓜式编译Qt+openCV3.4.1+opencv_contrib(全网最浅显易懂)》
《OpenCV开发笔记(四):OpenCV图片和视频数据的读取与存储》
《OpenCV开发笔记(十三):OpenCV图像对比度、亮度的调整》
《OpenCV开发笔记(十四):算法基础之线性滤波-方框滤波》
《OpenCV开发笔记(十五):算法基础之线性滤波-均值滤波》
《OpenCV开发笔记(十六):算法基础之线性滤波-高斯滤波》
《OpenCV开发笔记(十八):算法基础之非线性滤波-中值滤波》
《OpenCV开发笔记(十九):算法基础之非线性滤波-双边滤波》
《OpenCV开发笔记(二十一):算法基础之形态学滤波-膨胀》
《OpenCV开发笔记(二十二):算法基础之形态学滤波-腐蚀》
Demo:Qt+OpenCV算法平台 v1.4.0
下载地址
CSDN:https://download.csdn.net/download/qq21497936/12570673
QQ群:1047134658(点击“文件”搜索“qtOpenCVTools”,群内与博文同步更新)
腐蚀
膨胀
双边滤波
中值滤波
高斯滤波
均值滤波
方框滤波
对比度与亮度
图片打开与保存
核心代码
common.h
#ifndef COMMON_H#define COMMON_H#include <QImage>#include <QDebug>#include <QFileDialog>#include <QColorDialog>#include <QMessageBox>#include <QHash>// opencv#include "opencv/highgui.h"#include "opencv/cxcore.h"#include "opencv2/core/core.hpp"#include "opencv2/highgui/highgui.hpp"#include "opencv2/opencv.hpp"#include "opencv2/xphoto.hpp"// opencv_contrib#include <opencv2/xphoto.hpp>#include <opencv2/ximgproc.hpp>#include <opencv2/calib3d.hpp>cv::Mat image2Mat(QImage image); // Qimage 转 cv::MatQImage mat2Image(cv::Mat mat); // cv::Mat 转 QImage#endif // COMMON_H
common.cpp
#include "common.h"cv::Mat image2Mat(QImage image){ cv::Mat mat; switch(image.format()) { case QImage::Format_ARGB32: case QImage::Format_RGB32: case QImage::Format_ARGB32_Premultiplied: mat = cv::Mat(image.height(), image.width(), CV_8UC4, (void*)image.constBits(), image.bytesPerLine()); cv::cvtColor(mat, mat, CV_BGRA2BGR); break; case QImage::Format_RGB888: mat = cv::Mat(image.height(), image.width(), CV_8UC3, (void*)image.constBits(), image.bytesPerLine()); cv::cvtColor(mat, mat, CV_BGR2RGB); break; case QImage::Format_Indexed8: mat = cv::Mat(image.height(), image.width(), CV_8UC1, (void*)image.constBits(), image.bytesPerLine()); break; } return mat;}QImage mat2Image(cv::Mat mat){ if(mat.type() == CV_8UC1) { QImage image(mat.cols, mat.rows, QImage::Format_Indexed8); // Set the color table (used to translate colour indexes to qRgb values) image.setColorCount(256); for(int i = 0; i < 256; i++) { image.setColor(i, qRgb(i, i, i)); } // Copy input Mat uchar *pSrc = mat.data; for(int row = 0; row < mat.rows; row ++) { uchar *pDest = image.scanLine(row); memcpy(pDest, pSrc, mat.cols); pSrc += mat.step; } return image; } else if(mat.type() == CV_8UC3) { const uchar *pSrc = (const uchar*)mat.data; QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_RGB888); return image.rgbSwapped(); } else if(mat.type() == CV_8UC4) { const uchar *pSrc = (const uchar*)mat.data; QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_ARGB32); return image.copy(); } else { return QImage(); }}
DemoContrastAndBrightnessWidget.h
#ifndef DEMOCONTRASTANDBRIGHTNESSWIDGET_H#define DEMOCONTRASTANDBRIGHTNESSWIDGET_H#include <QWidget>#include "common.h"namespace Ui {class DemoContrastAndBrightnessWidget;}class DemoContrastAndBrightnessWidget : public QWidget{ Q_OBJECTpublic: explicit DemoContrastAndBrightnessWidget(QWidget *parent = 0); ~DemoContrastAndBrightnessWidget();public: void setFilePath(QString filePath);protected: void updateInfo(); void updateImage();private slots: void on_pushButton_openFile_clicked(); void on_horizontalSlider_beta_sliderMoved(int position); void on_horizontalSlider_alpha_sliderMoved(int position); void on_pushButton_broswer_clicked(); void on_spinBox_beta_valueChanged(int arg1); void on_doubleSpinBox_alpha_valueChanged(double arg1); void on_pushButton_showFile_clicked(); void on_pushButton_backgroundColor_clicked();private: Ui::DemoContrastAndBrightnessWidget *ui;private: QString _filePath; cv::Mat _srcMat; QImage _srcImage; cv::Mat _dstMat; QImage _dstImage;};#endif // DEMOCONTRASTANDBRIGHTNESSWIDGET_H
DemoContrastAndBrightnessWidget.cpp
#include "DemoContrastAndBrightnessWidget.h"#include "ui_DemoContrastAndBrightnessWidget.h"DemoContrastAndBrightnessWidget::DemoContrastAndBrightnessWidget(QWidget *parent) : QWidget(parent), ui(new Ui::DemoContrastAndBrightnessWidget){ ui->setupUi(this);}DemoContrastAndBrightnessWidget::~DemoContrastAndBrightnessWidget(){ delete ui;}void DemoContrastAndBrightnessWidget::setFilePath(QString filePath){ _filePath = filePath; ui->lineEdit_filePath->setText(_filePath);}void DemoContrastAndBrightnessWidget::updateInfo(){ if(_srcMat.data == 0) { return; } // mat行列与图片高度是对角线反向的 ui->label_size->setText(QString("%1 x %2").arg(_srcMat.rows).arg(_srcMat.cols)); ui->label_channels->setText(QString("%1").arg(_srcMat.channels())); ui->label_depth->setText(QString("%1").arg(_srcMat.depth())); ui->label_type->setText(QString("%1").arg(_srcMat.type()));}void DemoContrastAndBrightnessWidget::updateImage(){ if(_srcImage.isNull()) { return; } cv::Mat srcMat = image2Mat(_srcImage); // 增强对比度 float r; float g; float b; _dstMat = cv::Mat::zeros(srcMat.size(), srcMat.type()); int alpha = ui->horizontalSlider_alpha->value(); // 小于1,则降低对比度 int beta = ui->horizontalSlider_beta->value(); // 负数,则降低亮度 for(int row = 0; row < srcMat.rows; row++) { for(int col = 0; col < srcMat.cols; col++) { b = srcMat.at<cv::Vec3b>(row, col)[0]; g = srcMat.at<cv::Vec3b>(row, col)[1]; r = srcMat.at<cv::Vec3b>(row, col)[2]; // 对比度、亮度计算公式 cv::saturate_cast<uchar>(value):防止溢出 _dstMat.at<cv::Vec3b>(row, col)[0] = cv::saturate_cast<uchar>(b * alpha / 100.0f + beta); _dstMat.at<cv::Vec3b>(row, col)[1] = cv::saturate_cast<uchar>(g * alpha / 100.0f + beta); _dstMat.at<cv::Vec3b>(row, col)[2] = cv::saturate_cast<uchar>(r * alpha / 100.0f + beta); } } _dstImage = mat2Image(_dstMat); ui->widget_image->setImage(_dstImage);}void DemoContrastAndBrightnessWidget::on_pushButton_openFile_clicked(){ if(!_srcImage.load(_filePath)) { qDebug() << __FILE__ << __LINE__ << "Failed to load image:" << _filePath; return; } qDebug() << __FILE__<< __LINE__ << (int)_srcImage.format(); _srcMat = image2Mat(_srcImage); updateInfo(); updateImage();}void DemoContrastAndBrightnessWidget::on_horizontalSlider_beta_sliderMoved(int position){ ui->spinBox_beta->setValue(position); updateImage();}void DemoContrastAndBrightnessWidget::on_horizontalSlider_alpha_sliderMoved(int position){ ui->doubleSpinBox_alpha->setValue(position / 100.0f); updateImage();}void DemoContrastAndBrightnessWidget::on_pushButton_broswer_clicked(){ QString dir = ui->lineEdit_filePath->text(); dir = dir.mid(0, dir.lastIndexOf("/")); QString filePath = QFileDialog::getOpenFileName(0, "打开图片", dir, "PNG;JPEG;BMP(*.png;*.jpg;*.bmp);;JPEG(*.jpg);;PNG(*.png);;BMP(*.bmp)"); if(filePath.isEmpty()) { return; } _filePath = filePath; ui->lineEdit_filePath->setText(_filePath);}void DemoContrastAndBrightnessWidget::on_spinBox_beta_valueChanged(int arg1){ ui->horizontalSlider_beta->setValue(arg1); updateImage();}void DemoContrastAndBrightnessWidget::on_doubleSpinBox_alpha_valueChanged(double arg1){ ui->horizontalSlider_alpha->setValue(arg1 * 100); updateImage();}void DemoContrastAndBrightnessWidget::on_pushButton_showFile_clicked(){ if(_dstMat.data == 0) { QMessageBox::information(this, "提示", "使用opencv显示图片失败"); return; } cv::imshow("showFile", _dstMat);}void DemoContrastAndBrightnessWidget::on_pushButton_backgroundColor_clicked(){ QColor backgroundColor = ui->widget_image->getBackgroundColor(); backgroundColor = QColorDialog::getColor(backgroundColor, this, "底色"); if(!backgroundColor.isValid()) { return; } QColor color(backgroundColor.red(), backgroundColor.green(), backgroundColor.blue()); ui->widget_image->setBackgroundColor(color);}
原博主博客地址:https://blog.csdn.net/qq21497936
原博主博客导航:https://blog.csdn.net/qq21497936/article/details/102478062
本文章博客地址:https://blog.csdn.net/qq21497936/article/details/107090002