QT / OPENCV-调整图像的大小不适合特定尺寸
我在QT/OpenCV中制作了一个图像编辑器,您可以从文件资源管理器和灰度/自适应阈值/调整大小。
错误1:当我使用我的ImageProcessor :: Resize(int,int)方法调整加载的图像大小为(例如)600x600像素时,它可以正常工作。但是,当我将其更改为546x750像素时,图像会带有一个怪异的灰度。
错误2:当我想调整灰度/阈值图像大小时,它总是会得到一个与错误1相似的怪异灰度。
代码:
mainwindow.cpp
#include "mainwindow.h"
#include "ui_mainwindow.h"
#include "resizer.h"
MainWindow::MainWindow(QWidget *parent)
: QMainWindow(parent)
, ui(new Ui::MainWindow)
{
ui->setupUi(this);
}
MainWindow::~MainWindow()
{
delete ui;
}
void MainWindow::Display(cv::Mat inputImage)
{
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_RGB888);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
void MainWindow::on_actionOpen_triggered()
{
QString file = QFileDialog::getOpenFileName(this, "Open", "", "Images (*.jpg *.png)");
std::string filename = file.toStdString();
inputImage = cv::imread(filename);
Display(inputImage);
imgProc = new ImageProcessor(inputImage);
}
void MainWindow::on_pushButton_clicked() // Grayscale
{
scene->clear();
imgProc->mode = 1;
inputImage = imgProc->Grayscale();
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_Grayscale8);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
void MainWindow::on_pushButton_2_clicked() // ADT
{
scene->clear();
imgProc->mode = 2;
inputImage = imgProc->AdaptiveThreshold();
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_Grayscale8);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
void MainWindow::on_pushButton_3_clicked() // Resize
{
scene->clear();
Resizer resizer;
resizer.exec();
int newWidth = resizer.GetWidth();
int newHeight = resizer.GetHeight();
inputImage = imgProc->Resize(newWidth, newHeight);
if(imgProc->mode == 1 || imgProc->mode == 2)
{
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_Grayscale8);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
else
{
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_RGB888);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
}
imageprocessor.cpp
#include "imageprocessor.h"
ImageProcessor::ImageProcessor(cv::Mat inputImage)
{
this->inputImage = inputImage;
}
cv::Mat ImageProcessor::Resize(int width, int height)
{
cv::Mat resized;
cv::resize(inputImage, resized, cv::Size(width, height), cv::INTER_LINEAR);
return resized;
}
cv::Mat ImageProcessor::Grayscale()
{
cv::Mat grayscaled;
cv::cvtColor(inputImage, grayscaled, cv::COLOR_RGB2GRAY);
return grayscaled;
}
cv::Mat ImageProcessor::AdaptiveThreshold()
{
cv::Mat binarized, grayscaled;
cv::cvtColor(inputImage, grayscaled, cv::COLOR_RGB2GRAY);
cv::adaptiveThreshold(grayscaled, binarized, 255, cv::ADAPTIVE_THRESH_GAUSSIAN_C, cv::THRESH_BINARY, 15, 11);
return binarized;
}
I made an Image Editor in Qt / OpenCV where you can load the Image from the File explorer and grayscale/adaptive threshold/resize it afterwards.
Bug 1: When I resize the Loaded Image to (for example) 600x600 Pixels using my ImageProcessor::Resize(int, int) method, it works fine. But when I change it to like 546x750 Pixels, the Image has a weird grayscale.
Bug 2: When I want to resize my Grayscaled/Thresholded Image, it always gets a weird grayscale similiar to Bug 1.
Codes:
mainwindow.cpp
#include "mainwindow.h"
#include "ui_mainwindow.h"
#include "resizer.h"
MainWindow::MainWindow(QWidget *parent)
: QMainWindow(parent)
, ui(new Ui::MainWindow)
{
ui->setupUi(this);
}
MainWindow::~MainWindow()
{
delete ui;
}
void MainWindow::Display(cv::Mat inputImage)
{
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_RGB888);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
void MainWindow::on_actionOpen_triggered()
{
QString file = QFileDialog::getOpenFileName(this, "Open", "", "Images (*.jpg *.png)");
std::string filename = file.toStdString();
inputImage = cv::imread(filename);
Display(inputImage);
imgProc = new ImageProcessor(inputImage);
}
void MainWindow::on_pushButton_clicked() // Grayscale
{
scene->clear();
imgProc->mode = 1;
inputImage = imgProc->Grayscale();
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_Grayscale8);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
void MainWindow::on_pushButton_2_clicked() // ADT
{
scene->clear();
imgProc->mode = 2;
inputImage = imgProc->AdaptiveThreshold();
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_Grayscale8);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
void MainWindow::on_pushButton_3_clicked() // Resize
{
scene->clear();
Resizer resizer;
resizer.exec();
int newWidth = resizer.GetWidth();
int newHeight = resizer.GetHeight();
inputImage = imgProc->Resize(newWidth, newHeight);
if(imgProc->mode == 1 || imgProc->mode == 2)
{
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_Grayscale8);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
else
{
QImage image = QImage(inputImage.data, inputImage.cols, inputImage.rows, QImage::Format_RGB888);
scene->addPixmap(QPixmap::fromImage(image));
ui->graphicsView->setScene(scene);
ui->graphicsView->show();
}
}
imageprocessor.cpp
#include "imageprocessor.h"
ImageProcessor::ImageProcessor(cv::Mat inputImage)
{
this->inputImage = inputImage;
}
cv::Mat ImageProcessor::Resize(int width, int height)
{
cv::Mat resized;
cv::resize(inputImage, resized, cv::Size(width, height), cv::INTER_LINEAR);
return resized;
}
cv::Mat ImageProcessor::Grayscale()
{
cv::Mat grayscaled;
cv::cvtColor(inputImage, grayscaled, cv::COLOR_RGB2GRAY);
return grayscaled;
}
cv::Mat ImageProcessor::AdaptiveThreshold()
{
cv::Mat binarized, grayscaled;
cv::cvtColor(inputImage, grayscaled, cv::COLOR_RGB2GRAY);
cv::adaptiveThreshold(grayscaled, binarized, 255, cv::ADAPTIVE_THRESH_GAUSSIAN_C, cv::THRESH_BINARY, 15, 11);
return binarized;
}
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qimage :: format_rgb888
是您定义的格式类型,意味着:如果您的图像具有3个频道,则您的方式是正确的,除了添加以下内容:
您需要在末尾添加
rgbswapped()
,因为QT以RGB顺序读取它,因为OpenCV给出了BGR。如果要将灰度映像发送到GUI,则需要使用
qimage :: format_grayscale8
格式类型,这意味着:在这里是格式的清晰的共同介绍。
注意:使用OpenCV函数如何调整图像大小?共享
resizer.h
,我将相应地更新答案。QImage::Format_RGB888
is the format type you defined means that:If your image has 3 channels then your way is correct to continue, except adding this:
You need to add at the end
rgbSwapped()
because Qt reads it in RGB order as OpenCV gives BGR.If you want to send a gray scale image to GUI then you need to use
QImage::Format_Grayscale8
format type, which means:Here is the clear cocumentation for the formats.
Note: How do you resize your image, by using OpenCV function ? Share
resizer.h
, I will update the answer accordingly.