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mainwindow.cpp
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#include "mainwindow.h"
#include "ui_mainwindow.h"
#include <opencv2/opencv.hpp>
#include <QTextCodec.h>
#include <QFileDialog>
#include <QtDebug>
#include <QString>
#include <QDialog>
#include <QMessageBox>
#include <QImage>
#include <QGraphicsView>
#include <QGraphicsScene>
#include <QTextEdit>
//#include <windows.h>
#include <QPrinter>
#include <QPainter>
#include <QPrintDialog>
#include <QMouseEvent>
#include <QMatrix>
#include <QTimer>
#include <QDateTime>
#include <stack>
#include <QWizard>
#include <QWizardPage>
#include <QVBoxLayout>
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include<iostream>
#include<time.h>
using namespace std;
using namespace cv;
int interNum = 100;//迭代次数
int internum1;
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
ui->setupUi(this);
setWindowIcon(QIcon(":/images/myico.png"));//图标
ui_hide();//暂时隐藏不需要的内容
QTimer *timer = new QTimer(this);//当前时间显示
connect(timer, SIGNAL(timeout()), this, SLOT(timerUpdate()));
timer->start(1000);
Mat start = imread("images/start.png");
img_display(start);
}
MainWindow::~MainWindow()
{
delete ui;
}
//-------------帮助向导----------------------//
QWizardPage *createIntroPage()//介绍页
{
QWizardPage *page = new QWizardPage;
page->setTitle("Hello!");
QLabel *label = new QLabel;
QString str = "本软件具有图像预处理、形态学操作、图像滤波、图像分割等四大功能模块.";
label->setText(str);
QFont ft;
ft.setPointSize(10);
label->setFont(ft);
QVBoxLayout *layout = new QVBoxLayout;
layout->addWidget(label);
page->setLayout(layout);
return page;
}
QWizardPage *createIntroPage1()//介绍页1
{
QWizardPage *page = new QWizardPage;
page->setTitle(QObject::trUtf8("图像预处理."));
QLabel *label = new QLabel;
QString str = "主要包括以下五个部分.\n"
"①灰度化."
"②二值化."
"③对比度和亮度."
"④直方图均衡化."
"⑤设置感兴趣区域.";
label->setText(str);
QFont ft;
ft.setPointSize(10);
label->setFont(ft);
QVBoxLayout *layout = new QVBoxLayout;
layout->addWidget(label);
page->setLayout(layout);
label->setWordWrap(true);
return page;
}
QWizardPage *createIntroPage2()//介绍页2
{
QWizardPage *page = new QWizardPage;
page->setTitle(QObject::trUtf8("形态学处理."));
QLabel *label = new QLabel;
QString str = "主要包括以下七个部分.\n"
"①膨胀、腐蚀."
"②开、闭运算."
"③梯度、顶帽、黑帽运算."
"④填充孔洞."
"⑤去除小面积区域."
"⑥形态学重构."
"⑦轮廓的提取及描述.";
label->setText(str);
QFont ft;
ft.setPointSize(10);
label->setFont(ft);
QVBoxLayout *layout = new QVBoxLayout;
layout->addWidget(label);
page->setLayout(layout);
label->setWordWrap(true);
return page;
}
QWizardPage *createIntroPage3()//介绍页3
{
QWizardPage *page = new QWizardPage;
page->setTitle(QObject::trUtf8("图像滤波处理."));
QLabel *label = new QLabel;
QString str = "主要包括以下五种滤波.\n"
"①方框滤波."
"②均值滤波."
"③高斯滤波."
"④中值滤波."
"⑤双边滤波.";
label->setText(str);
QFont ft;
ft.setPointSize(10);
label->setFont(ft);
QVBoxLayout *layout = new QVBoxLayout;
layout->addWidget(label);
page->setLayout(layout);
label->setWordWrap(true);
return page;
}
QWizardPage *createIntroPage4()//介绍页4
{
QWizardPage *page = new QWizardPage;
page->setTitle(QObject::trUtf8("图像分割"));
QLabel *label = new QLabel;
QString str = "主要包括以下五种类型的分割.\n"
"①基于阈值的大津法分割.\n"
"②基于形态学的分水岭算法分割.\n"
"③基于边缘检测的Canny、Sobel、Laplacian算子分割.\n"
"④基于区域的生长法分割.\n"
"⑤基于图论的Grabcut分割.\n"
"⑥基于活动轮廓模型的Leverset分割.\n";
label->setText(str);
QFont ft;
ft.setPointSize(10);
label->setFont(ft);
QVBoxLayout *layout = new QVBoxLayout;
layout->addWidget(label);
page->setLayout(layout);
//label->setWordWrap(true) ;
return page;
}
QWizardPage *createfinishPage()//结束页
{
QWizardPage *page = new QWizardPage;
page->setTitle(QObject::trUtf8("注意事项"));
QLabel *label = new QLabel;
QString str = "Copyright by Dingkeyan";
label->setText(str);
QFont ft;
ft.setPointSize(10);
label->setFont(ft); QVBoxLayout *layout = new QVBoxLayout;
layout->addWidget(label);
page->setLayout(layout);
label->setWordWrap(true);
return page;
}
void MainWindow::timerUpdate()//显示时间函数
{
QDateTime time = QDateTime::currentDateTime();
QString str = time.toString("yyyy-MM-dd hh:mm:ss dddd");
ui->label_time->setText(str);
}
//-------------Mat与QImage的转化----------------------//
QImage cvMat2QImage(const cv::Mat& mat)
{
// 8-bits unsigned, NO. OF CHANNELS = 1
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;
}
// 8-bits unsigned, NO. OF CHANNELS = 3
else if (mat.type() == CV_8UC3)
{
// Copy input Mat
const uchar *pSrc = (const uchar*)mat.data;
// Create QImage with same dimensions as input Mat
QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
return image.rgbSwapped();
}
else if (mat.type() == CV_8UC4)
{
qDebug() << "CV_8UC4";
// Copy input Mat
const uchar *pSrc = (const uchar*)mat.data;
// Create QImage with same dimensions as input Mat
QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_ARGB32);
return image.copy();
}
else
{
qDebug() << "ERROR: Mat could not be converted to QImage.";
return QImage();
}
}
Mat QImage2cvMat(QImage image)
{
cv::Mat mat;
qDebug() << image.format();
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());
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;
}
//-------------显示图片函数----------------------//
void MainWindow::img_display(Mat image)
{
dispimg = cvMat2QImage(image);
ui->label->clear();
ui->label->setPixmap(QPixmap::fromImage(dispimg));
ui->label->resize(ui->label->pixmap()->size());
}
void MainWindow::img_display_1(Mat image)
{
ui->label_1->setVisible(true);
dispimg = cvMat2QImage(image);
ui->label_1->clear();
ui->label_1->setPixmap(QPixmap::fromImage(dispimg));
ui->label_1->resize(ui->label_1->pixmap()->size());
}
void MainWindow::img_display_2(Mat image)
{
ui->label_2->setVisible(true);
dispimg = cvMat2QImage(image);
ui->label_2->clear();
ui->label_2->setPixmap(QPixmap::fromImage(dispimg));
ui->label_2->resize(ui->label_2->pixmap()->size());
}
//--------------暂时隐藏不需要的部件--------------//
void MainWindow::ui_hide()
{
ui->thresh_Slider->setVisible(false);
ui->label_thresh->setVisible(false);
ui->thresh_Slider_1->setVisible(false);
ui->label_thresh_1->setVisible(false);
ui->comboBox1->setVisible(false);
ui->comboBox2->setVisible(false);
ui->label_1->setVisible(false);
ui->label_2->setVisible(false);
ui->tip2->setVisible(false);
ui->tip3->setVisible(false);
ui->spinBox->setVisible(false);
}
//--------------设置滑块的参数--------------//
void MainWindow::setSlider(int Slider_Min, int Slider_Max, int Slider_Val)
{
ui->thresh_Slider->setVisible(true);//显示滑块
ui->label_thresh->setVisible(true);//显示滑块值
ui->thresh_Slider->setMinimum(Slider_Min);//设置滑动条控件的最小值
ui->thresh_Slider->setMaximum(Slider_Max);//设置滑动条控件的最大值
ui->thresh_Slider->setValue(Slider_Val);//设置滑动条控件的初始值
ui->thresh_Slider->setPageStep(1);//设置滑动条控件的单步间隔值,可惜只能int
}
//--------------设置滑块_1的参数--------------//
void MainWindow::setSlider_1(int Slider_Min, int Slider_Max, int Slider_Val)
{
ui->thresh_Slider_1->setVisible(true);//显示滑块
ui->label_thresh_1->setVisible(true);//显示滑块值
ui->thresh_Slider_1->setMinimum(Slider_Min);//设置滑动条控件的最小值
ui->thresh_Slider_1->setMaximum(Slider_Max);//设置滑动条控件的最大值
ui->thresh_Slider_1->setValue(Slider_Val);//设置滑动条控件的初始值
ui->thresh_Slider_1->setPageStep(1);//设置滑动条控件的单步间隔值,可惜只能int
}
//----------------------开始----------------------//
void MainWindow::on_open_image_triggered()//打开图片
{
QString filename;
filename = QFileDialog::getOpenFileName(this, tr("选择图像"), "", tr("Images(*.png *.bmp *.jpg *.tif *.GIF )"));
QTextCodec *code = QTextCodec::codecForName("gb18030");//为了使用中文路径
std::string name = code->fromUnicode(filename).data();
image = cv::imread(name);//读入原始图像矩阵
image.copyTo(init_img);//把打开的图像保存到全局变量init_img中，用于初始化还原图像
image.copyTo(rep_img);//把图像保存到全局变量rep_img中，用于撤销操作
if (filename.isEmpty())return;
else img_display(image);
ui_hide();//隐藏不需要的部件
thresh = 1;
thresh_1 = 1;
MORPH = 0;
//以下为相对于图片的坐标
x = 0;
y = 0;
x1 = ui->label->width();
y1 = ui->label->height();
ui->tip1->setText(tr("原始图."));
statusBar()->showMessage(tr("已正确打开图片."));
}
void MainWindow::on_print_image_triggered()//打印图片
{
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
QPrinter printer;
QPrintDialog printDialog(&printer, this);
if (printDialog.exec())//判断是否点击了”打印”
{
QPainter painter(&printer);
QRect rect = painter.viewport();
QSize size = dispimg.size();
size.scale(rect.size(), Qt::KeepAspectRatio);//使图像铺满整个页面
painter.setViewport(rect.x(), rect.y(), size.width(), size.height());
painter.setWindow(dispimg.rect());
painter.drawImage(0, 0, dispimg);
}
statusBar()->showMessage(tr("已正确打印图像."));
}
void MainWindow::on_save_image_triggered()//保存图片
{
QString filename;
filename = QFileDialog::getSaveFileName(this, tr("保存图像"), "", tr("Images(*.png)"));
QTextCodec *code = QTextCodec::codecForName("gb18030");//为了使用中文路径
std::string name = code->fromUnicode(filename).data();
if (filename.isEmpty()) return;
else cv::imwrite(name, image);//保存image到指定文件夹下，是BGR格式
statusBar()->showMessage(tr("已正确保存图像."));
}
void MainWindow::on_exit_image_triggered()//退出系统
{
if (!(QMessageBox::information(this, tr("提示"), tr("确定退出系统?"), tr("Yes"), tr("No"))))
{
this->close();
}
}
void MainWindow::on_camera_image_triggered()//打开摄像头
{
VideoCapture capture(0);
while (1) //循环显示每一帧
{
Mat frame; //定义一个Mat变量，用于存储每一帧的图像
if (!capture.isOpened())return;
capture >> frame; //读取当前帧
imshow("Camera", frame); //显示当前帧
char c = waitKey(30); //延时30ms
if (c == 13)//按下Enter保存图像
{
frame.copyTo(image);
img_display(image);
break;
}
if (c == 27)break;//按下ESC退出
}
cvDestroyWindow("Camera");
statusBar()->showMessage(tr("已正确打开摄像头，按Enter键截屏保存."));
}
//-------------工具条操作---------------------//
void MainWindow::on_repeal_image_triggered()//撤销
{
img_display(rep_img);
rep_img.copyTo(image);
statusBar()->showMessage(tr("已撤销上一次图像操作."));
}
void MainWindow::on_init_image_triggered()//还原
{
img_display(init_img);
ui->tip1->setText(tr("原始图."));
init_img.copyTo(image);
ui_hide();
flag = 0;
thresh = 1;
thresh_1 = 1;
MORPH = 0;
interNum = 100;
ui->comboBox2->setCurrentIndex(0);
ui->spinBox->setValue(50);
x = 0;
y = 0;
x1 = ui->label->width();
y1 = ui->label->height();
statusBar()->showMessage(tr("已恢复原始图像."));
ui->tip1->setText(tr("原始图."));
}
void MainWindow::on_OK_image_triggered()//确定
{
flag = 255;
dst_image.copyTo(image);
ui_hide();
statusBar()->showMessage(tr("已确认本操作."));
}
void MainWindow::on_print_image_action_triggered()//打印
{
on_print_image_triggered();
}
void MainWindow::on_open_action_triggered()//打开
{
on_open_image_triggered();
ui_hide();
}
void MainWindow::on_save_action_triggered()//保存
{
on_save_image_triggered();
}
void MainWindow::on_camera_action_triggered()//摄像头
{
on_camera_image_triggered();
}
void MainWindow::on_zoom_in_triggered()//放大
{
QImage dst;
QImage src;
image.copyTo(rep_img);
src = cvMat2QImage(image);
if (src.isNull()) return;
QMatrix matrix;
matrix.scale(1.5, 1.5);
dst = src.transformed(matrix);
Mat dst1 = QImage2cvMat(dst);
img_display(dst1);
dst1.copyTo(image);
statusBar()->showMessage(tr("每次点击放大1.5倍."));
}
void MainWindow::on_zoom_out_triggered()//缩小
{
QImage dst;
QImage src;
image.copyTo(rep_img);
src = cvMat2QImage(image);
if (src.isNull()) return;
QMatrix matrix;
matrix.scale(0.66, 0.66);
dst = src.transformed(matrix);
Mat dst1 = QImage2cvMat(dst);
img_display(dst1);
dst1.copyTo(image);
statusBar()->showMessage(tr("每次点击缩小1.5倍."));
}
void MainWindow::on_information_action_triggered()//帮助
{
//QMessageBox::information(this, tr("help"),tr("Sorry！暂无帮助"));
QWizard* wizard = new QWizard;
wizard->setWindowTitle("Introduction");
wizard->addPage(createIntroPage());
wizard->addPage(createIntroPage1());
wizard->addPage(createIntroPage2());
wizard->addPage(createIntroPage3());
wizard->addPage(createIntroPage4());
wizard->addPage(createfinishPage());
wizard->resize(320, 240);
wizard->show();
}
void MainWindow::on_ROI_action_triggered()//设置ROI
{
flag = 11;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
statusBar()->showMessage(tr("请拖动鼠标选择一个矩形区域."));
}
//-------------鼠标事件---------------------//
void MainWindow::mousePressEvent(QMouseEvent*event)//按下
{
if (event->button() == Qt::LeftButton)//鼠标左键按下
{
x = event->x() - (ui->label->x());
y = event->y() - (ui->label->y()) - 55;//减去menubar+toobar的高度
if (flag == 11)//ROI
{
statusBar()->showMessage(tr("鼠标相对控件坐标:(") + QString::number(x) + tr(",") + QString::number(y) + tr(")"));
}
//qDebug("鼠标相对控件坐标:%d %d ",x,y);
}
}
void MainWindow::mouseMoveEvent(QMouseEvent *event)//移动
{
if (event->buttons()&Qt::LeftButton)//鼠标左键按下的同时移动鼠标
{
if (flag == 11 | flag == 21)//只在ROI和Grabcut时用
{
QPainter paint;
QPixmap pix;
x1 = event->x() - (ui->label->x());
y1 = event->y() - (ui->label->y()) - 55;
paint.setPen(QColor(Qt::green)); //设定画笔颜色
paint.setBrush(QColor(Qt::red)); //设定填充颜色
// paint.drawRect(QRect(70,70,80,80));
paint.drawRect(QRect(x, y, x1, y1));
}
}
}
void MainWindow::mouseReleaseEvent(QMouseEvent *event)//释放
{
if (event->button() == Qt::LeftButton)//鼠标左键释放
{
if (flag == 11)//只在ROI时用
{
if (x >= 0 && y >= 0 && x1 <= ui->label->width() && y1 <= ui->label->height())
{
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
cv::Rect rect(x, y, x1 - x, y1 - y);
src(rect).copyTo(dst);
img_display(dst);
dst.copyTo(image);
ui->tip1->setText(tr("ROI图."));
statusBar()->showMessage(tr("已获得ROI图像."));
flag = 0;
x = 0;
y = 0;
x1 = ui->label->width();
y1 = ui->label->height();
}
}
if (flag == 21)//只在Grabcut时用
{
if (x >= 0 && y >= 0 && x1 <= ui->label->width() && y1 <= ui->label->height())
{
Mat dst, src, mask;
image.copyTo(rep_img);
image.copyTo(src);
dst = Mat(src.size(), CV_8UC1, cv::Scalar(cv::GC_BGD));//掩模图像必须是8UC1
if (src.channels() == 1) cvtColor(src, src, CV_GRAY2RGB);//输入图像必须是8UC3
src.convertTo(src, CV_8UC3);
cv::Rect rectangle(x, y, x1 - x, y1 - y);// 矩形外的像素是背景
cv::Mat result;
//两个临时矩阵变量，作为算法的中间变量使用，不用care
cv::Mat bgModel, fgModel;
// GrabCut 分段
cv::grabCut(src, //输入图像
result, //分段结果
rectangle,// 包含前景的矩形
bgModel, fgModel, // 前景、背景
1, // 迭代次数
cv::GC_INIT_WITH_RECT); // 用矩形
// 得到可能是前景的像素
//比较函数保留值为GC_PR_FGD的像素
cv::compare(result, cv::GC_PR_FGD, result, cv::CMP_EQ);
// 产生输出图像
cv::Mat foreground(src.size(), CV_8UC3, cv::Scalar(255, 255, 255));
//背景值为 GC_BGD=0，作为掩码
image.copyTo(foreground, result);
img_display(foreground);
foreground.copyTo(image);
ui->tip1->setText(tr("用GrabCut算法分割后的图."));
statusBar()->showMessage(tr("已对图像用GrabCut算法分割."));
}
}
}
}
//-------------图像增强：灰度化---------------------//
void MainWindow::on_togray_triggered()
{
Mat dst, src;
image.copyTo(rep_img);//处理前图像保存到全局变量rep_img中，用于撤销操作
image.copyTo(src);//把原图像保存到局部变量src中进行操作
if (!src.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
dst.create(src.size(), src.type()); // 创建与src同类型和大小的矩阵(dst)
if (src.channels() == 1) src.copyTo(dst);
else cvtColor(src, dst, CV_BGR2GRAY); //转换为灰度图
img_display(dst);
dst.copyTo(image);//把处理后的图像更新全局变量image中，用于再处理
ui->tip1->setText(tr("灰度图."));
statusBar()->showMessage(tr("已对图像灰度化."));
}
//-------------图像增强：二值化---------------------//
void MainWindow::on_tobinary_before_triggered()
{
flag = 10;
Mat dst, src;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
image.copyTo(rep_img);
image.copyTo(src);
dst.create(src.size(), src.type());
if (src.channels() == 3) { cvtColor(src, src, CV_BGR2GRAY); } //转换为灰度图
threshold(src, dst, thresh, 255, CV_THRESH_BINARY); //二值化
img_display(dst);
if (thresh == 1)thresh = 128;//thresh初始化
setSlider(0, 255, thresh);
dst.copyTo(dst_image);
ui->tip1->setText(tr("二值图."));
statusBar()->showMessage(tr("已对图像二值化."));
}
//-------------图像增强：对比度和亮度---------------------//
void MainWindow::on_contrast_image_triggered()
{
flag = 7;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
int beta = thresh_1;//亮度
float alpha = thresh * 3 / 255;//对比度0-3倍
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
dst.create(src.size(), src.type());
if (src.channels() == 3) //BGR图像
{
for (int y = 0; y < src.rows; y++)
{
for (int x = 0; x < src.cols; x++)
{
for (int c = 0; c < 3; c++)
{
dst.at<Vec3b>(y, x)[c] = saturate_cast<uchar>(alpha*(src.at<Vec3b>(y, x)[c] + beta));
}
}
}
}
else //不是BGR图像
{
for (int y = 0; y < src.rows; y++)
{
for (int x = 0; x < src.cols; x++)
{
dst.at<uchar>(y, x) = saturate_cast<uchar>(alpha*(src.at<uchar>(y, x)) + beta);
}
}
}
img_display(dst);
if (thresh == 1)thresh = 60;//thresh初始化
setSlider(0, 255, thresh);
if (thresh_1 == 1)thresh_1 = 60;//thresh初始化
setSlider_1(0, 255, thresh_1);
dst.copyTo(dst_image);//ok键按下时把dstimage保存到image中，便于接下来再处理
ui->tip1->setText(tr("处理后图"));
statusBar()->showMessage(tr("已进行亮度和对比度的调整."));
}
//-------------图像增强：直方图均衡化---------------------//
void MainWindow::on_histogram_equalization_triggered()
{
Mat dst, src;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
image.copyTo(rep_img);
image.copyTo(src);
if (src.channels() == 1)
src.copyTo(dst);
else
cvtColor(src, dst, CV_BGR2GRAY); //转换为灰度图
equalizeHist(src, dst);
img_display(dst);
dst.copyTo(image);
ui->tip1->setText(tr("直方图均衡化后的图."));
statusBar()->showMessage(tr("已对图像进行直方图均衡化."));
}
//-------------设置ROI区域---------------------//
void MainWindow::on_action_ROI_triggered()
{
on_ROI_action_triggered();
}
//-------------图像形态学操作---------------------//
void MainWindow::on_dilate_image_triggered()//膨胀
{
flag = 22;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
Mat element = getStructuringElement(MORPH, Size(thresh, thresh));
morphologyEx(src, dst, MORPH_DILATE, element, Point(-1, -1), thresh_1);//膨胀
img_display(dst);
setSlider(1, 15, thresh);
setSlider_1(1, 5, thresh_1);
ui->comboBox1->setVisible(true);
dst.copyTo(dst_image);
ui->tip1->setText(tr("膨胀后图"));
statusBar()->showMessage(tr("已对图像进行膨胀."));
}
void MainWindow::on_erode_image_triggered()//腐蚀
{
flag = 1;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
Mat element = getStructuringElement(MORPH, Size(thresh, thresh));
morphologyEx(src, dst, MORPH_ERODE, element, Point(-1, -1), thresh_1);//腐蚀
img_display(dst);
setSlider(1, 15, thresh);
setSlider_1(1, 5, thresh_1);
ui->comboBox1->setVisible(true);
dst.copyTo(dst_image);
ui->tip1->setText(tr("腐蚀后图"));
statusBar()->showMessage(tr("已对图像进行腐蚀."));
}
void MainWindow::on_opening_image_triggered()//开运算
{
flag = 2;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
Mat element = getStructuringElement(MORPH, Size(thresh, thresh));
morphologyEx(src, dst, MORPH_OPEN, element, Point(-1, -1), thresh_1);//开运算
img_display(dst);
setSlider(1, 15, thresh);
setSlider_1(1, 5, thresh_1);
ui->comboBox1->setVisible(true);
dst.copyTo(dst_image);
ui->tip1->setText(tr("开运算后的图."));
statusBar()->showMessage(tr("已对图像进行开运算."));
}
void MainWindow::on_closing_image_triggered()//闭运算
{
flag = 3;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
Mat element = getStructuringElement(MORPH, Size(thresh, thresh));
morphologyEx(src, dst, MORPH_CLOSE, element, Point(-1, -1), thresh_1);//闭运算
img_display(dst);
setSlider(1, 15, thresh);
setSlider_1(1, 5, thresh_1);
ui->comboBox1->setVisible(true);
dst.copyTo(dst_image);
ui->tip1->setText(tr("闭运算后的图"));
statusBar()->showMessage(tr("已对图像进行闭运算."));
}
void MainWindow::on_gradient_image_triggered()//梯度
{
flag = 4;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
Mat element = getStructuringElement(MORPH, Size(thresh, thresh));
morphologyEx(src, dst, MORPH_GRADIENT, element, Point(-1, -1), thresh_1);//梯度
img_display(dst);
setSlider(1, 15, thresh);
setSlider_1(1, 5, thresh_1);
ui->comboBox1->setVisible(true);
dst.copyTo(dst_image);
ui->tip1->setText(tr("梯度化图"));
statusBar()->showMessage(tr("已对图像进行梯度化."));
}
void MainWindow::on_tophat_image_triggered()//顶帽
{
flag = 5;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
Mat element = getStructuringElement(MORPH, Size(thresh, thresh));
morphologyEx(src, dst, MORPH_TOPHAT, element, Point(-1, -1), thresh_1);//顶帽
img_display(dst);
setSlider(1, 15, thresh);
setSlider_1(1, 5, thresh_1);
ui->comboBox1->setVisible(true);
dst.copyTo(dst_image);
ui->tip1->setText(tr("顶帽处理后图"));
statusBar()->showMessage(tr("已对图像进行顶帽处理."));
}
void MainWindow::on_blackhat_image_triggered()//黑帽
{
flag = 6;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat dst, src;
image.copyTo(rep_img);
image.copyTo(src);
Mat element = getStructuringElement(MORPH, Size(thresh, thresh));
morphologyEx(src, dst, MORPH_BLACKHAT, element, Point(-1, -1), thresh_1);//黑帽
img_display(dst);
setSlider(1, 15, thresh);
setSlider_1(1, 5, thresh_1);
ui->comboBox1->setVisible(true);
dst.copyTo(dst_image);
ui->tip1->setText(tr("黑帽处理后的图."));
statusBar()->showMessage(tr("已对图像进行黑帽处理."));
}
//----------------------孔洞填充----------------------//
void MainWindow::on_hole_fill_triggered()
{
flag = 8;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat src;
image.copyTo(rep_img);
image.copyTo(src);
Mat dst = Mat::zeros(src.size(), CV_8UC1);
if (src.channels() != 1)
cvtColor(src, src, CV_BGR2GRAY); //src必须为一个2值单通道图像
src.convertTo(src, CV_8UC1);
RemoveSmallRegion(src, dst, thresh, 0, 0);
img_display(dst);
if (thresh == 1)
thresh = 100;//thresh初始化
setSlider(0, 500, thresh);
dst.copyTo(dst_image);
ui->tip1->setText(tr("孔洞填充后的图."));
statusBar()->showMessage(tr("已对图像进行孔洞填充."));
}
//---------------------去除小面积区域----------------------//
void MainWindow::on_deduct_small_area_triggered()
{
flag = 9;
if (!image.data)
{
QMessageBox::warning(this, tr("Warning"), tr("请先打开图片."));
return;
}
Mat src;
image.copyTo(rep_img);
image.copyTo(src);
Mat dst = Mat::zeros(src.size(), CV_8UC1);
if (src.channels() != 1)
cvtColor(src, src, CV_BGR2GRAY); //src必须为一个2值单通道图像
src.convertTo(src, CV_8UC1);
RemoveSmallRegion(src, dst, thresh, 1, 1);
img_display(dst);
if (thresh == 1)thresh = 200;//thresh初始化
setSlider(0, 1500, thresh);
dst.copyTo(dst_image);
ui->tip1->setText(tr("去除设定面积区域后的图."));
statusBar()->showMessage(tr("已对图像去除设定面积区域."));
}
//CheckMode: 0代表去除黑区域，1代表去除白区域; NeihborMode：0代表4邻域，1代表8邻域;记录每个像素点检验状态的标签，0代表未检查，1代表正在检查,2代表检查不合格（需要反转颜色），3代表检查合格或不需检查
void MainWindow::RemoveSmallRegion(Mat& Src, Mat& Dst, int AreaLimit, int CheckMode, int NeihborMode)
{
int RemoveCount = 0; //记录除去的个数
Mat Pointlabel = Mat::zeros(Src.size(), CV_8UC1);
if (CheckMode == 1)//去除小区域
{
for (int i = 0; i < Src.rows; ++i)
{
uchar* iData = Src.ptr<uchar>(i);
uchar* iLabel = Pointlabel.ptr<uchar>(i);
for (int j = 0; j < Src.cols; ++j)
{
if (iData[j] < 10)
{
iLabel[j] = 3;
}
}
}
}
else//去除孔洞
{
for (int i = 0; i < Src.rows; ++i)
{
uchar* iData = Src.ptr<uchar>(i);
uchar* iLabel = Pointlabel.ptr<uchar>(i);
for (int j = 0; j < Src.cols; ++j)
{
if (iData[j] > 10)
{
iLabel[j] = 3;
}
}
}
}
vector<Point2i> NeihborPos; //记录邻域点位置
NeihborPos.push_back(Point2i(-1, 0));
NeihborPos.push_back(Point2i(1, 0));
NeihborPos.push_back(Point2i(0, -1));
NeihborPos.push_back(Point2i(0, 1));
if (NeihborMode == 1)
{
NeihborPos.push_back(Point2i(-1, -1));
NeihborPos.push_back(Point2i(-1, 1));
NeihborPos.push_back(Point2i(1, -1));
NeihborPos.push_back(Point2i(1, 1));
}
int NeihborCount = 4 + 4 * NeihborMode;
int CurrX = 0, CurrY = 0;
//开始检测
for (int i = 0; i < Src.rows; ++i)
{
uchar* iLabel = Pointlabel.ptr<uchar>(i);
for (int j = 0; j < Src.cols; ++j)
{
if (iLabel[j] == 0)
{
//********开始该点处的检查**********
vector<Point2i> GrowBuffer; //堆栈，用于存储生长点
GrowBuffer.push_back(Point2i(j, i));
Pointlabel.at<uchar>(i, j) = 1;
int CheckResult = 0; //用于判断结果（是否超出大小），0为未超出，1为超出
for (int z = 0; z<GrowBuffer.size(); z++)
{
for (int q = 0; q<NeihborCount; q++)
{
CurrX = GrowBuffer.at(z).x + NeihborPos.at(q).x;
CurrY = GrowBuffer.at(z).y + NeihborPos.at(q).y;
if (CurrX >= 0 && CurrX<Src.cols&&CurrY >= 0 && CurrY<Src.rows)
{