这篇文章主要为大家详细介绍了基于Qt+OpenCV的图像灰度化像素操作:最大值法、平均法、加权平均值法,感兴趣的小伙伴可以了解一下
效果图
实现代码
#ifndef WIDGET_H
#define WIDGET_H
#include <QWidget>
#include<opencv2/opencv.hpp>
using namespace cv;
QT_BEGIN_NAMESPACE
namespace Ui { class Widget; }
QT_END_NAMESPACE
class Widget : public QWidget
{
Q_OBJECT
public:
Widget(QWidget *parent = nullptr);
~Widget();
private slots:
void TheMax(Mat Input_iamge);
void TheMean(Mat Input_iamge);
void TheMeightedMean(Mat Input_iamge);
void UI_init();
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);
UI_init(); //init ui
Mat image_1=imread("D:/program/Qt/Qt5+opencv/108homework/me.png");
ui->image1->setPixmap(QPixmap("D:/program/Qt/Qt5+opencv/108homework/me.png"));
TheMax(image_1);
ui->image2->setPixmap(QPixmap("D:/program/Qt/Qt5+opencv/108homework/image_2.png"));
TheMean(image_1);
ui->image3->setPixmap(QPixmap("D:/program/Qt/Qt5+opencv/108homework/image_3.png"));
TheMeightedMean(image_1);
ui->image4->setPixmap(QPixmap("D:/program/Qt/Qt5+opencv/108homework/image_4.png"));
}
Widget::~Widget()
{
delete ui;
}
void Widget::TheMax(Mat Input_iamge)
{
int width = Input_iamge.cols;
int height = Input_iamge.rows;
Mat image_2(height,width,CV_8UC1);
for (int j = 0; j < height; j++)
{
for (int i = 0; i < width; i++)
{
int b = Input_iamge.at<Vec3b>(j, i)[0];
int g = Input_iamge.at<Vec3b>(j, i)[1];
int r = Input_iamge.at<Vec3b>(j, i)[2];
image_2.at<uchar>(j, i) = saturate_cast<uchar>(max(r,max(b,g)));
}
}
imwrite("D:/program/Qt/Qt5+opencv/108homework/image_2.png", image_2);
}
void Widget::TheMean(Mat Input_iamge)
{
int width = Input_iamge.cols;
int height = Input_iamge.rows;
Mat image_3(height,width,CV_8UC1);
for (int j = 0; j < height; j++)
{
for (int i = 0; i < width; i++)
{
int b = Input_iamge.at<Vec3b>(j, i)[0];
int g = Input_iamge.at<Vec3b>(j, i)[1];
int r = Input_iamge.at<Vec3b>(j, i)[2];
image_3.at<uchar>(j, i) = saturate_cast<uchar>((r+g+b)/3);
}
}
imwrite("D:/program/Qt/Qt5+opencv/108homework/image_3.png", image_3);
}
void Widget::TheMeightedMean(Mat Input_iamge)
{
int width = Input_iamge.cols;
int height = Input_iamge.rows;
Mat image_4(height,width,CV_8UC1);
for (int j = 0; j < height; j++)
{
for (int i = 0; i < width; i++)
{
int b = Input_iamge.at<Vec3b>(j, i)[0];
int g = Input_iamge.at<Vec3b>(j, i)[1];
int r = Input_iamge.at<Vec3b>(j, i)[2];
image_4.at<uchar>(j, i) = saturate_cast<uchar>(0.299*r + 0.587*g + 0.114*b);
}
}
imwrite("D:/program/Qt/Qt5+opencv/108homework/image_4.png", image_4);
}
void Widget::UI_init()
{
ui->image1->setFrameShape(QFrame::Box);
ui->image1->setFrameShadow(QFrame::Sunken);
ui->image1->setLineWidth(5);
ui->image1->setLineWidth(10);
ui->image2->setFrameShape(QFrame::Box);
ui->image2->setFrameShadow(QFrame::Sunken);
ui->image2->setLineWidth(5);
ui->image2->setLineWidth(10);
ui->image3->setFrameShape(QFrame::Box);
ui->image3->setFrameShadow(QFrame::Sunken);
ui->image3->setLineWidth(5);
ui->image3->setLineWidth(10);
ui->image4->setFrameShape(QFrame::Box);
ui->image4->setFrameShadow(QFrame::Sunken);
ui->image4->setLineWidth(5);
ui->image4->setLineWidth(10);
}
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本文标题为:基于Qt OpenCV的图像灰度化像素操作详解
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