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mainwindow.cpp
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#include "mainwindow.h"
#include "ui_mainwindow.h"
#include "dialog_erosion.h"
#include "ui_dialog_erosion.h"
#include <iostream>
#include <QFileDialog>
#include <QLabel>
#include <qtextcodec.h>
#include <fstream>
#include <QDir>
#include <QTextStream>
#include <opencv/ml.h>
#include <opencv/cxcore.h>
using namespace std;
using namespace cv;
using namespace zbar;
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
ui->setupUi(this);
pic_dir = u8"D:\\钢板缺陷\\";
// trainingData = 0;
for (int i = 0; i < 120; i++)
{
for(int j = 0; j < 10; j++)
{
trainingData[i][j] = i/20 + 1;
labeldata[i] = i/20 + 1;
}
}
}
MainWindow::~MainWindow()
{
delete ui;
}
void MainWindow::winload(){
}
void MainWindow::on_actionExit_triggered()
{
this->close();
}
void MainWindow::resizeEvent ( QResizeEvent * event )
{
scaledmat2label(mat_current, ui->label_current);
scaledmat2label(mat_cut, ui->label_cut);
scaledmat2label(mat_contour, ui->label_contour);
scaledmat2label(mat_last, ui->label_last);
statusBar()->removeWidget(aixLabel_pencentage);
aixLabel_pencentage = new QLabel(QString::number(pecentage*100,10,2)+"%");
statusBar()->addWidget(aixLabel_pencentage, 2);
}
/*
void MainWindow::mat2label_current(Mat mat)
{
ui->label_current->clear();
ui->label_current->setPixmap(QPixmap::fromImage(cvMat2QImage(mat)));
ui->label_current->show();
}
void MainWindow::scaled_mat(Mat mat)
{
if(mat.data)
{
Mat image2;
pecentage=(double)ui->label_current->width()/mat.cols;
if((double)ui->label_current->height()/mat.rows<pecentage)
pecentage =(double)ui->label_current->height()/mat.rows;
cv::resize(mat,image2,cv::Size(0,0),pecentage,pecentage,INTER_AREA );
mat2label_current(image2);
}
}
*/
void MainWindow::on_actionOpen_triggered()
{
ui->textBrowser->clear();
QFileDialog *fileDialog = new QFileDialog(this);//创建一个QFileDialog对象，构造函数中的参数可以有所添加。
fileDialog->setWindowTitle(tr("Open"));//设置文件保存对话框的标题
fileDialog->setAcceptMode(QFileDialog::AcceptOpen);//设置文件对话框为保存模式
fileDialog->setFileMode(QFileDialog::AnyFile);//设置文件对话框弹出的时候显示任何文件，不论是文件夹还是文件
fileDialog->setViewMode(QFileDialog::Detail);//文件以详细的形式显示，显示文件名，大小，创建日期等信息；
//还有另一种形式QFileDialog::List，这个只是把文件的文件名以列表的形式显示出来
fileDialog->setGeometry(10,30,300,200);//设置文件对话框的显示位置
fileDialog->setDirectory(".");//设置文件对话框打开时初始打开的位置
// fileDialog->setFilter(tr("Image Files(*.jpg *.png)"));//设置文件类型过滤器
if(fileDialog->exec() == QDialog::Accepted)//注意使用的是QFileDialog::Accepted或者QDialog::Accepted,不是QFileDialog::Accept
{
curr_picname = fileDialog->selectedFiles()[0];//得到用户选择的文件名
mat_opened=imread(curr_picname.toLocal8Bit().constData());
mat_current = mat_opened;
mat_cut = mat_opened;
mat_contour= mat_opened;
if(mat_opened.data)
{
scaledmat2label(mat_current, ui->label_current);
}
statusBar()->setVisible(true);
statusBar()->removeWidget(aixLabel);
statusBar()->removeWidget(aixLabel_pencentage);
aixLabel = new QLabel(curr_picname);
aixLabel_pencentage = new QLabel(QString::number(pecentage*100,10,2)+"%");
statusBar()->setStyleSheet(QString("QStatusBar::item{border: 0px}")); // 设置不显示label的边框
statusBar()->addWidget(aixLabel, 1);
statusBar()->addWidget(aixLabel_pencentage, 2);
}
}
void MainWindow::on_actionGrey_triggered()
{
if(mat_opened.channels()==1){
QMessageBox msg;
msg.setText(u8"已是灰度图像");
msg.exec();
}
else{
cvtColor(mat_opened, mat_cut, CV_BGR2GRAY);
scaledmat2label(mat_cut, ui->label_cut);
}
}
void MainWindow::on_actionBilateral_Blur_triggered()
{
int i=19;
bilateralFilter(mat_opened, mat_cut, i, i * 2, i / 2);
scaledmat2label(mat_cut, ui->label_cut);
}
void MainWindow::on_actionHomogeneous_Blur_triggered()
{
blur(mat_opened, mat_cut, Size(19, 19), Point(-1, -1));
scaledmat2label(mat_cut, ui->label_cut);
}
void MainWindow::on_actionmedianBlur_triggered()
{
int i=19;
medianBlur(mat_opened, mat_cut, i);
scaledmat2label(mat_cut, ui->label_cut);
}
void MainWindow::on_actionGaussian_Blur_triggered()
{
int i=3;
GaussianBlur(mat_opened, mat_cut, Size(i, i), 0, 0);
scaledmat2label(mat_cut, ui->label_cut);
}
void MainWindow::on_actionCanny_triggered()
{
if(mat_opened.channels()==1)
{
QMessageBox msg;
msg.setText(u8"已是灰度图像");
msg.exec();
}
else
{
Mat src, src_gray;
Mat dst, detected_edges;
int edgeThresh = 1;
int lowThreshold=7;
int const max_lowThreshold = 100;
int ratio = 3;
int kernel_size = 3;
// char* window_name = "Edge Map";
/**
* @函数 CannyThreshold
* @简介： trackbar 交互回调 - Canny阈值输入比例1:3
*/
/** @函数 main */
src = mat_opened;
// imshow("origin pic", src);
/// 创建与src同类型和大小的矩阵(dst)
dst.create(src.size(), src.type());
/// 原图像转换为灰度图像
cvtColor(src, src_gray, CV_BGR2GRAY);
/// 创建显示窗口
// namedWindow(window_name, CV_WINDOW_AUTOSIZE);
/// 创建trackbar
// createTrackbar("Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold);
/// 显示图像
// CannyThreshold(0, 0);
/// 使用 3x3内核降噪
blur(src_gray, detected_edges, Size(3, 3));
/// 运行Canny算子
Canny(detected_edges, detected_edges, lowThreshold, lowThreshold*ratio, kernel_size);
/// 使用 Canny算子输出边缘作为掩码显示原图像
dst = Scalar::all(0);
src.copyTo(dst, detected_edges);
// imshow(window_name, dst);
// mat2pixmap(dst);
mat_cut=dst;
scaledmat2label(mat_cut, ui->label_cut);
}
}
void MainWindow::on_actionErosion_triggered()
{
Dialog_erosion *q = new Dialog_erosion();
q->uii->label_elem->setText("Erosion element");
q->uii->label_3->clear();
q->uii->horizontalSlider_3->close();
q->show();
connect(q, SIGNAL(erosion_dilation(int ,int ,int)), this,SLOT(erosion(int ,int ,int)));
}
void MainWindow::on_actionDilation_triggered()
{
Dialog_erosion *q = new Dialog_erosion();
q->uii->label_elem->setText("Dilation element");
q->uii->label_3->clear();
q->uii->horizontalSlider_3->close();
q->show();
connect(q, SIGNAL(erosion_dilation(int ,int ,int)), this,SLOT(dilation(int ,int ,int)));
}
void MainWindow::on_actionLight_triggered()
{
Dialog_erosion *q = new Dialog_erosion();
q->uii->label_elem->setText("Light");
q->uii->horizontalSlider_elem->setMinimum(10);
q->uii->horizontalSlider_elem->setMaximum(30);
q->uii->horizontalSlider_size->setMinimum(-100);
q->uii->horizontalSlider_size->setMaximum(100);
q->uii->label_size->setText("Contrast");
q->uii->label_3->clear();
q->uii->horizontalSlider_3->close();
q->show();
connect(q, SIGNAL(erosion_dilation(int ,int ,int)), this,SLOT(light(int ,int ,int)));
}
void MainWindow::on_actionMorphology_triggered()
{
Dialog_erosion *q = new Dialog_erosion();
q->uii->label_elem->setText("morph_elem");
q->uii->horizontalSlider_elem->setMinimum(0);
q->uii->horizontalSlider_elem->setMaximum(2);
q->uii->label_3->setText("morph operator");
q->uii->horizontalSlider_3->setMinimum(0);
q->uii->horizontalSlider_3->setMaximum(4);
q->show();
connect(q, SIGNAL(erosion_dilation(int ,int ,int)), this,SLOT(Morphology_Operations(int ,int ,int)));
}
void MainWindow::on_actionzbar_triggered()
{
zbar::ImageScanner scanner;
//ImageScanner scanner;
scanner.set_config(ZBAR_NONE, ZBAR_CFG_ENABLE, 1);
Mat image = mat_opened;
if (!image.data)
{
QMessageBox msg;
msg.setText(u8"图片为空");
msg.exec();
}
Mat imageGray;
if(mat_opened.channels()!=1){
cvtColor(image, imageGray, CV_RGB2GRAY);
}
else
imageGray=image;
int width = imageGray.cols;
int height = imageGray.rows;
uchar *raw = (uchar *)imageGray.data;
Image imageZbar(width, height, "Y800", raw, width * height);
scanner.scan(imageZbar); //扫描条码
Image::SymbolIterator symbol = imageZbar.symbol_begin();
if (imageZbar.symbol_begin() == imageZbar.symbol_end())
{
QMessageBox msg;
msg.setText(u8"查询条码失败，请检查图片！");
msg.exec();
}
for (; symbol != imageZbar.symbol_end(); ++symbol)
{
ui->textBrowser->setText(QString::fromStdString(symbol->get_data()));
QMessageBox msg;
msg.setText(u8"条码类型："+ QString::fromStdString(symbol->get_type_name())+"\n"+u8"条码内容："+QString::fromStdString(symbol->get_data()));
// msg.setText(" ");
msg.exec();
}
imageZbar.set_data(NULL, 0);
}
/*
void MainWindow::on_actionQRall_triggered()
{
ImageScanner scanner;
scanner.set_config(ZBAR_NONE, ZBAR_CFG_ENABLE, 1);
Mat imageSource=mat_current;
Mat image;
Mat imageGray;
imageSource.copyTo(image);
GaussianBlur(image,image,Size(3,3),0); //滤波
if(mat_current.channels()!=1){
cvtColor(image, image, CV_BGR2GRAY);
}
threshold(image,image,100,255,CV_THRESH_BINARY); //二值化
//imshow("二值化",image);
Mat element=getStructuringElement(2,Size(5,5)); //膨胀腐蚀核
//morphologyEx(image,image,MORPH_OPEN,element);
for(int i=0;i<10;i++)
{
erode(image,image,element);
i++;
}
//imshow("腐蚀s",image);
Mat image1;
erode(image,image1,element);
image1=image-image1;
//imshow("边界",image1);
//寻找直线 边界定位也可以用findContours实现
vector<Vec2f>lines;
HoughLines(image1,lines,1,CV_PI/150,110,0,0);
Mat DrawLine=Mat::zeros(image1.size(),CV_8UC1);
for(int i=0;i<lines.size();i++)
{
float rho=lines[i][0];
float theta=lines[i][1];
Point pt1,pt2;
double a=cos(theta),b=sin(theta);
double x0=a*rho,y0=b*rho;
pt1.x=cvRound(x0+1000*(-b));
pt1.y=cvRound(y0+1000*a);
pt2.x=cvRound(x0-1000*(-b));
pt2.y=cvRound(y0-1000*a);
line(DrawLine,pt1,pt2,Scalar(255),1,CV_AA);
}
//imshow("直线",DrawLine);
Point2f P1[4];
Point2f P2[4];
vector<Point2f>corners;
goodFeaturesToTrack(DrawLine,corners,4,0.1,10,Mat()); //角点检测
for(int i=0;i<corners.size();i++)//corners.size()
{
circle(DrawLine,corners[i],3,Scalar(255),3);
P1[i]=corners[i];
}
imshow("交点",DrawLine);//*
int width0=P1[0].x-P1[1].x;
int height0=P1[2].y-P1[0].y;//width;
P2[3]=P1[3];
P2[0]=Point2f(P2[3].x+width0,P2[3].y);
P2[1]=Point2f(P2[3].x,P2[3].y+height0);
P2[2]=Point2f(P2[0].x,P2[1].y);
Mat elementTransf;
elementTransf= getAffineTransform(P1,P2);
warpAffine(imageSource,imageSource,elementTransf,imageSource.size(),1,0,Scalar(255));
//imshow("校正",imageSource);
imageSource = imageSource(Rect(P2[3].x, P2[3].y, width0, height0));
imageGray=imageSource;
mat_current=imageGray;
// mat2pixmap(imageGray);
scaledmat2label(mat_current, ui->label_current);
//imshow("裁剪",mat_current);
cvtColor(imageGray, imageGray, CV_RGB2GRAY);
int width = imageGray.cols;
int height = imageGray.rows;
uchar *raw = (uchar *)imageGray.data;
Image imageZbar(width, height, "Y800", raw, width * height);
scanner.scan(imageZbar);//扫描条码
Image::SymbolIterator symbol = imageZbar.symbol_begin();
if (imageZbar.symbol_begin() == imageZbar.symbol_end())
{
QMessageBox msg;
msg.setText(u8"查询条码失败，请检查图片！");
msg.exec();
}
for (; symbol != imageZbar.symbol_end(); ++symbol)
{
ui->textBrowser->setText(QString::fromStdString(symbol->get_data()));
QMessageBox msg;
msg.setText(u8"条码类型："+ QString::fromStdString(symbol->get_type_name())+"\n"+u8"条码内容："+QString::fromStdString(symbol->get_data()));
// msg.setText(" ");
msg.exec();
}
imageZbar.set_data(NULL, 0);
}
void MainWindow::on_actionmat_cut_triggered()
{
mat_current=mat_cut;
}
*/
void MainWindow::on_spinBox_bry_valueChanged(const QString &arg1)
{
mat_opened.copyTo(mat_cut);
GaussianBlur(mat_cut,mat_cut,Size(3,3),0); //滤波
scaledmat2label(mat_cut, ui->label_cut);
cvtColor(mat_cut, mat_contour, CV_BGR2GRAY);
scaledmat2label(mat_contour, ui->label_contour);
threshold(mat_contour,mat_last,ui->spinBox_bry->value(),255,CV_THRESH_BINARY); //二值化
scaledmat2label(mat_last, ui->label_last);
}
void MainWindow::on_pushButton_check_clicked()
{
mat_opened=mat_current;
}
void MainWindow::on_Button_info_clicked()
{
imshow("mat_contour", mat_contour);
Mat img = mat_current;
Mat gray,color;
if(img.channels()!=1)
cvtColor(img, gray, CV_RGB2GRAY);
Mat tmp_m, tmp_sd;
double m = 0, sd = 0;
m = mean(gray)[0];
cout << "Mean: " << m << endl;
meanStdDev(gray, tmp_m, tmp_sd);
m = tmp_m.at<double>(0,0);
sd = tmp_sd.at<double>(0,0);
ui->textBrowser->setText("Mean: "+QString::number(m, 10, 4)+" , StdDev: "+QString::number(sd, 10, 4));
}
/*
void MainWindow::on_horizontalSlider_canny_valueChanged(int value)
{
if(value%2==1)
ui->spinBox_canny_kernel->setValue(value);
}
*/
void MainWindow::on_spinBox_canny_kernel_valueChanged(int arg1)
{
curr_canny();
}
<<<<<<< HEAD
=======
void MainWindow::curr_canny()
{
try
{
if(ui->spinBox_canny_kernel->value()%2==1)
{
if(mat_opened.channels()==1)
{
QMessageBox msg;
msg.setText(u8"已是灰度图像");
msg.exec();
}
else
{
Mat src, src_gray;
Mat dst, detected_edges;
int edgeThresh = 1;
int lowThreshold= ui->spinBox_canny_low->value();;
int const max_lowThreshold = 100;
// int ratio = ui->spinBox_canny_kernel->value();
int kernel_size = ui->spinBox_canny_kernel->value();
// char* window_name = "Edge Map";
/**
* @函数 CannyThreshold
* @简介： trackbar 交互回调 - Canny阈值输入比例1:3
*/
/** @函数 main */
src = mat_opened;
// imshow("origin pic", src);
/// 创建与src同类型和大小的矩阵(dst)
dst.create(src.size(), src.type());
/// 原图像转换为灰度图像
cvtColor(src, src_gray, CV_BGR2GRAY);
/// 创建显示窗口
// namedWindow(window_name, CV_WINDOW_AUTOSIZE);
/// 创建trackbar
// createTrackbar("Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold);
/// 显示图像
// CannyThreshold(0, 0);
/// 使用 3x3内核降噪
blur(src_gray, mat_cut, Size(3, 3));
scaledmat2label(mat_cut, ui->label_cut);
/// 运行Canny算子
Canny(mat_cut, detected_edges, lowThreshold, ui->spinBox_canny_high->value(), kernel_size);
mat_contour = detected_edges;
scaledmat2label(mat_contour, ui->label_contour);
/// 使用 Canny算子输出边缘作为掩码显示原图像
dst = Scalar::all(0);
src.copyTo(dst, detected_edges);
// imshow(window_name, dst);
// mat2pixmap(dst);
mat_last=dst;
scaledmat2label(mat_last, ui->label_last);
}
}
throw 1;
}
catch(int i)
{
if(i==1)
ui->textBrowser->setText("error");
}
>>>>>>> parent of 2cd8d70... 0402
void MainWindow::on_spinBox_canny_low_valueChanged(int arg1)
{
curr_canny();
}
void MainWindow::on_spinBox_canny_high_valueChanged(int arg1)
{
curr_canny();
}
void MainWindow::on_pushButton_circumference_clicked()
{
RNG rng(12345);
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours( canny_mat, contours, hierarchy, CV_RETR_EXTERNAL, CHAIN_APPROX_SIMPLE, Point(0, 0) );
double max_length = 0;
double sum_length = 0;
double avg_length = 0;
int max_i =0;
// 画出轮廓
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
Mat drawing = Mat::zeros( canny_mat.size(), CV_8UC3);
drawContours( drawing, contours, (int)i, color, 1, 8, hierarchy, 0, Point() );
// cv::arcLength()
double l=arcLength(contours[i],true);//后面参数0表示轮廓不闭合，正数表示闭合；负数表示计算序列组成的面积；提取的角点以list形式时，用负数。
double s = contourArea(contours[i],false);
cout<<"第"<<i<<"条轮廓"<<"周长为："<<l<<"；面积为："<<s<<endl;
// cout<<l<<endl;
// cout<<"第"<<i<<"条轮廓"<<
// ostringstream oss;
// oss <<"第"<<i<<"条轮廓"<<"周长为："<<l<<endl;
std::string oss ="Contous";
oss = oss + to_string(i) + "周长为："+to_string(l)+"；面积为："+to_string(s);
//const char* namess ="contous"+i;
// ui->textBrowser->setText(oss);
namedWindow( oss, WINDOW_NORMAL );
imshow( oss, drawing );
sum_length += l;
if(l > max_length)
{
max_length = l;
max_i = i;
}
}
avg_length = sum_length / contours.size();
//
//max_contours = contours[max_i];
/* Mat ssdrawing = Mat::zeros( mat_opened.size(), CV_8UC3);
Scalar colorz = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( ssdrawing, contours,max_i, colorz, 1, 8, hierarchy, 0, Point() );
namedWindow( "LARGEST", WINDOW_NORMAL );
imshow( "LARGEST", ssdrawing );
*/
double sum_lee=0;
double variance_length = 0;
for( size_t i = 0; i< contours.size(); i++ )
{
double lee=arcLength(contours[i],true);
sum_lee += (lee-avg_length)*(lee-avg_length);
}
variance_length = sum_lee/contours.size();
cout<<"共"<<contours.size()<<"条轮廓；"<<"最大周长为："<<max_length<<
"；平均周长为："<<avg_length<<"；周长均方差为："<<variance_length<<endl;
Mat I = imread(curr_picname.toLocal8Bit().constData());
int sum_grey = 0;
int sum_greynum = 0;
if(I.channels()!=1)
cvtColor(I, I, CV_BGR2GRAY);
for (int i=0;i<I.rows;i++)
{
for (int j=0;j<I.cols;j++)
{
if (pointPolygonTest(contours[max_i],cv::Point(j,i),false) == 1)
{
sum_greynum ++;
sum_grey += I.at<uchar>(i,j);
}
else
{
I.at<uchar>(i,j)=0;//对灰度图像素操作赋
}
}
}
double va_grey = 0;
double avg_gery = sum_grey / sum_greynum;
for (int i=0;i<I.rows;i++)
{
for (int j=0;j<I.cols;j++)
{
if (pointPolygonTest(contours[max_i],cv::Point(j,i),false) == 1)
{
//double lee=arcLength(contours[i],true);
va_grey += (I.at<uchar>(i,j)-avg_gery)*(I.at<uchar>(i,j)-avg_gery);
}
}
}
double variance_grey = va_grey/sum_greynum;
cout<<"最大轮廓内共"<<sum_greynum<<"个像素；"<<"灰度平均值为："<<avg_gery<<
"；灰度方差为："<<variance_grey<<endl;
namedWindow( "最大轮廓区域", WINDOW_NORMAL );
imshow( "最大轮廓区域", I );
}
void MainWindow::on_pushButton_setcanny_clicked()
{
canny_mat = mat_current;
}
void MainWindow::on_pushButton_largeaera_clicked()
{
Mat I = mat_opened.clone();
/* cvtColor(I, I, CV_BGR2GRAY);
for (int i=0;i<I.rows;i++)
{
for (int j=0;j<I.cols;j++)
{
if (pointPolygonTest(max_contours,cv::Point(i,j),false) == -1)
{
I.at<uchar>(i,j)=0;//对灰度图像素操作赋
}
}
}
*/
namedWindow( "最大轮廓区域", WINDOW_NORMAL );
imshow( "最大轮廓区域", I );
// return I;
// cv::Point p1(x,y);
}
void MainWindow::on_pushButton_openmat_clicked()
{
namedWindow( "mat_opened", WINDOW_NORMAL );
imshow( "mat_opened", mat_opened );
}
void MainWindow::on_pushButton_onekey_clicked()
{
}
<<<<<<< HEAD
=======
void MainWindow::onekey_canny()
{
mat_opened=imread(curr_picname.toLocal8Bit().constData());
try
{
mat_current = mat_opened;
scaledmat2label(mat_current, ui->label_current);
GaussianBlur(mat_opened, mat_cut, Size(ui->spinBox_guss_ken->value(), ui->spinBox_guss_ken->value()), 0, 0);
scaledmat2label(mat_cut, ui->label_cut);
Mat img = mat_opened;
Mat src_gray = img;
if(img.channels()!=1)
cvtColor(img, src_gray, CV_RGB2GRAY);
Mat tmp_m, tmp_sd;
double m = 0, sd = 0;
m = mean(src_gray)[0];
meanStdDev(src_gray, tmp_m, tmp_sd);
m = tmp_m.at<double>(0,0);
sd = tmp_sd.at<double>(0,0);
// cout << "Mean: " << m << "tmp_sd: " << sd << endl;
ui->textBrowser_info->setText("Mean: "+QString::number(m, 10, 4)+" , StdDev: "+QString::number(sd, 10, 4));
/*
// canny--------------------------------------------------------
Mat src;
Mat dst, detected_edges;
int edgeThresh = 1;
int lowThreshold= ui->spinBox_cannylow->value();
int max_Threshold= ui->spinBox_cannymax->value();
int const max_lowThreshold = 100;
// int ratio = ui->spinBox_canny_kernel->value();
int kernel_size =ui->spinBox_cannyken->value();
// char* window_name = "Edge Map";
///**
* @函数 CannyThreshold
* @简介： trackbar 交互回调 - Canny阈值输入比例1:3
/
/** @函数 main /
src = mat_opened;
// imshow("origin pic", src);
/// 创建与src同类型和大小的矩阵(dst)
dst.create(src.size(), src.type());
/// 创建显示窗口
// namedWindow(window_name, CV_WINDOW_AUTOSIZE);
/// 创建trackbar
// createTrackbar("Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold);
/// 显示图像
// CannyThreshold(0, 0);
/// 使用 3x3内核降噪
blur(src_gray, detected_edges, Size(3, 3));
/// 运行Canny算子
Canny(detected_edges, detected_edges, lowThreshold, max_Threshold, kernel_size);
canny_mat = detected_edges;
/// 使用 Canny算子输出边缘作为掩码显示原图像
dst = Scalar::all(0);
src.copyTo(dst, detected_edges);
// imshow(window_name, dst);
// mat2pixmap(dst);
mat_current=dst;
scaledmat2label(mat_current, ui->label_current);
*/
//---------------------------------------------------------------------------------------
mat_cut.copyTo(mat_contour);
scaledmat2label(mat_contour, ui->label_contour );
// GaussianBlur(mat_cut,mat_cut,Size(3,3),0); //滤波
if(mat_contour.channels() != 1)
cvtColor(mat_contour, mat_contour, CV_BGR2GRAY);
threshold(mat_contour,mat_contour,(int)m + (int)sd ,255,CV_THRESH_BINARY); //二值化ui->spinBox_enzhi->value()
// mat2pixmap(mat_cut);
// mat_current=mat_cut;
//scaled_mat(mat_opened);
dilation(0, ui->spinBox_dia->value(), 0);
// mat_opened = mat_current;
erosion(0, ui->spinBox_ero->value(), 0);
// mat_opened = mat_current;
canny_mat = mat_contour;
RNG rng(12345);
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours( canny_mat, contours, hierarchy, CV_RETR_EXTERNAL, CHAIN_APPROX_SIMPLE, Point(0, 0) );
//contours.resize();
double max_length = 0;
double sum_length = 0;
double avg_length = 0;
int max_i =0; int contour_num = 0;
// 画出轮廓
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
Mat drawing = Mat::zeros( canny_mat.size(), CV_8UC3);
drawContours( drawing, contours, (int)i, color, 1, 8, hierarchy, 0, Point() );
// cv::arcLength()
double l=arcLength(contours[i],true);//后面参数0表示轮廓不闭合，正数表示闭合；负数表示计算序列组成的面积；提取的角点以list形式时，用负数。
if(contourArea(contours[i],false)>50)
{
sum_length += l;
contour_num++;
}
if(l > max_length)
{
max_length = l;
max_i = i;
}
}
// scaledmat2label(drawing, ui->label_contour );
avg_length = sum_length / contour_num;//contours.size();
double s = contourArea(contours[max_i],false);
//
// max_contours = contours[max_i];
double sum_lee=0;
double variance_length = 0;
int half_num = 0;
for( size_t i = 0; i< contours.size(); i++ )
{
if(contourArea(contours[i],false)>s/2)
{
double lee=arcLength(contours[i],true);
sum_lee += (lee-avg_length)*(lee-avg_length);
half_num++;
}
/*
double lee=arcLength(contours[i],true);
sum_lee += (lee-avg_length)*(lee-avg_length);
if(contourArea(contours[i],false)>50)
{
contour_num++;
}
*/
}
variance_length = sum_lee/contour_num;//contours.size();
// cout<<"共"<<contours.size()<<"条轮廓；"<<"最大周长为："<<max_length<<
// "最大面积为："<<s<<<<curr_picname.toLocal8Bit().constData()
// "；平均周长为："<<avg_length<<"；周长均方差为："<<variance_length<<endl;
// cout<<u8"轮空数";
cout<<" { "<<half_num/*<<"--"<<contour_numcontours.size()*/<<", "<<(int)max_length<<
", "<<(int)s<<
", "<<(int)avg_length<<", "<<(int)variance_length<<", ";
mat_de[0] = contours.size();
mat_de[1] =(int)max_length;
mat_de[2] =(int)s;
mat_de[3] =(int)avg_length;
mat_de[4] =(int)variance_length;
// mat_de[0] =
Mat I = imread(curr_picname.toLocal8Bit().constData());
int sum_grey = 0;
int sum_greynum = 0;
if(I.channels()!=1)
cvtColor(I, I, CV_BGR2GRAY);
for (int i=0;i<I.rows;i++)
{
for (int j=0;j<I.cols;j++)
{
if (pointPolygonTest(contours[max_i],cv::Point(j,i),false) == 1)
{
sum_greynum ++;
sum_grey += I.at<uchar>(i,j);
}
else
{
I.at<uchar>(i,j)=0;//对灰度图像素操作赋
}
}
}
double va_grey = 0;
double avg_gery = sum_grey / sum_greynum;
for (int i=0;i<I.rows;i++)
{
for (int j=0;j<I.cols;j++)
{
if (pointPolygonTest(contours[max_i],cv::Point(j,i),false) == 1)
{
//double lee=arcLength(contours[i],true);
va_grey += (I.at<uchar>(i,j)-avg_gery)*(I.at<uchar>(i,j)-avg_gery);
}
}
}
double variance_grey = va_grey/sum_greynum;
// cout<<"最大轮廓内共"<<sum_greynum<<"个像素；"<<"灰度平均值为："<<avg_gery<<
// "；灰度方差为："<<variance_grey<<endl;
cout<<(int)avg_gery<<", "<<(int)variance_grey<<", ";
mat_de[5] =(int)avg_gery;
mat_de[6] =(int)variance_grey;
Mat imageContours=Mat::zeros(mat_opened.size(),CV_8UC1); //最小外接矩形画布
Mat imageContours1=Mat::zeros(mat_opened.size(),CV_8UC1); //最小外结圆画布
//绘制轮廓的最小外结矩形
RotatedRect rect=minAreaRect(contours[max_i]);
Point2f P[4];
rect.points(P);
for(int j=0;j<=3;j++)
{
line(imageContours,P[j],P[(j+1)%4],Scalar(255),2);
}
double distance1, distance2;
distance1 = powf((P[0].x - P[1%4].x),2) + powf((P[0].y - P[1%4].y),2);
distance1 = sqrtf(distance1);
distance2 = powf((P[1].x - P[2%4].x),2) + powf((P[1].y - P[2%4].y),2);
distance2 = sqrtf(distance2);
if(distance1<distance2)
{ double temp_dis = distance1;
distance1 = distance2;
distance2 = temp_dis;
}
// int int_distance1 = (int)distance1/100;
// int int_distance2 = (int)distance2/100;
cout<<(int)distance1<<", "<<(int)distance2<<", ";
mat_de[7] =(int)distance1;
mat_de[8] =(int)distance2;
//绘制轮廓的最小外结圆
Point2f center; float radius;
minEnclosingCircle(contours[max_i],center,radius);
circle(imageContours1,center,radius,Scalar(255),2);
cout<<(int)radius<<" }, "<<endl;
mat_de[9] =(int)radius;
imshow("MinAreaRect",imageContours);
imshow("MinAreaCircle",imageContours1);
if(I.data)
{
mat_last = I;
/* double pecentage1;
Mat image2;
pecentage1=(double)ui->label_last->width()/I.cols;
if((double)ui->label_last->height()/I.rows<pecentage1)
pecentage1 =(double)ui->label_last->height()/I.rows;
cv::resize(I,image2,cv::Size(0,0),pecentage1,pecentage1,INTER_AREA );
ui->label_last->clear();
ui->label_last->setPixmap(QPixmap::fromImage(cvMat2QImage(image2)));
ui->label_last->show();
//mat2label_current(image2);*/
scaledmat2label(mat_last, ui->label_last);
}
// namedWindow( "最大轮廓区域", WINDOW_NORMAL );
// imshow( "最大轮廓区域", I );
CvSVM svm;
svm.clear();
svm.load( "D:\\钢板缺陷\\svm0204_5.xml");
// float a[10] = { 19, 105, 42, 29, 407, 158, 1152, 46, 6, 24 } ;//{ 7, 686, 1973, 137, 50846, 115, 344, 203, 62, 106 };
CvMat sampleMat1;
cvInitMatHeader(&sampleMat1,1,10,CV_32FC1, mat_de);
float response1 = svm.predict(&sampleMat1);
ui->textBrowser_matde->setText(QString::number(response1,10,6));
throw 1;
}
catch(int i)
{
if(i == 1)
{
ui->textBrowser->setText("错误"+ QString::number(i,10));
}
}
}
>>>>>>> parent of 2cd8d70... 0402
void MainWindow::on_spinBox_guss_ken_valueChanged(int arg1)
{
onekey_canny();
}
void MainWindow::on_spinBox_cannylow_valueChanged(int arg1)
{
onekey_canny();