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); }
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