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基于Qt OpenCV的图像灰度化像素操作详解

作者:visual_eagle

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);

}

到此这篇关于基于Qt OpenCV的图像灰度化像素操作详解的文章就介绍到这了,更多相关Qt OpenCV图像灰度化操作内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

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