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Merge remote-tracking branch 'upstream/3.4' into merge-3.4

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This commit is contained in:
Alexander Alekhin
2018-07-31 21:35:00 +03:00
parent 57bead3a5e 67f79aabdd
commit 82c477c9f7
71 changed files with 2658 additions and 1392 deletions
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samples/cpp/create_mask.cpp
+42 -84
View File
@@ -12,26 +12,18 @@
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#include <iostream>
#include <stdlib.h>
using namespace std;
using namespace cv;
Mat img0, img1, res1, final;
Mat src, img1, mask, final;
Point point;
vector<Point> pts;
int drag = 0;
int numpts = 100;
Point* pts = new Point[100];
int var = 0;
int flag = 0;
int flag1 = 0;
int minx,miny,maxx,maxy,lenx,leny;
void mouseHandler(int, int, int, int, void*);
@@ -40,16 +32,17 @@ void mouseHandler(int event, int x, int y, int, void*)
if (event == EVENT_LBUTTONDOWN && !drag)
{
if(flag1 == 0)
if (flag == 0)
{
if(var==0)
img1 = img0.clone();
if (var == 0)
img1 = src.clone();
point = Point(x, y);
circle(img1,point,2,Scalar(0, 0, 255),-1, 8, 0);
pts[var] = point;
circle(img1, point, 2, Scalar(0, 0, 255), -1, 8, 0);
pts.push_back(point);
var++;
drag = 1;
if(var>1)
if (var > 1)
line(img1,pts[var-2], point, Scalar(0, 0, 255), 2, 8, 0);
imshow("Source", img1);
@@ -59,103 +52,68 @@ void mouseHandler(int event, int x, int y, int, void*)
if (event == EVENT_LBUTTONUP && drag)
{
imshow("Source", img1);
drag = 0;
}
if (event == EVENT_RBUTTONDOWN)
{
flag1 = 1;
img1 = img0.clone();
for(int i = var; i < numpts ; i++)
pts[i] = point;
flag = 1;
img1 = src.clone();
if(var!=0)
if (var != 0)
{
const Point* pts3[1] = {&pts[0]};
polylines( img1, pts3, &numpts,1, 1, Scalar(0,0,0), 2, 8, 0);
polylines( img1, pts, 1, Scalar(0,0,0), 2, 8, 0);
}
for(int i=0;i<var;i++)
{
minx = min(minx,pts[i].x);
maxx = max(maxx,pts[i].x);
miny = min(miny,pts[i].y);
maxy = max(maxy,pts[i].y);
}
lenx = maxx - minx;
leny = maxy - miny;
imshow("Source", img1);
}
if (event == EVENT_RBUTTONUP)
{
flag = var;
final = Mat::zeros(src.size(), CV_8UC3);
mask = Mat::zeros(src.size(), CV_8UC1);
final = Mat::zeros(img0.size(),CV_8UC3);
res1 = Mat::zeros(img0.size(),CV_8UC1);
const Point* pts4[1] = {&pts[0]};
fillPoly(res1, pts4,&numpts, 1, Scalar(255, 255, 255), 8, 0);
bitwise_and(img0, img0, final,res1);
imshow("mask",res1);
imwrite("mask.png",res1);
vector<vector<Point> > vpts;
vpts.push_back(pts);
fillPoly(mask, vpts, Scalar(255, 255, 255), 8, 0);
bitwise_and(src, src, final, mask);
imshow("Mask", mask);
imshow("Result", final);
imshow("Source", img1);
}
if (event == EVENT_MBUTTONDOWN)
{
for(int i = 0; i < numpts ; i++)
{
pts[i].x=0;
pts[i].y=0;
}
pts.clear();
var = 0;
flag1 = 0;
minx = INT_MAX; miny = INT_MAX; maxx = INT_MIN; maxy = INT_MIN;
imshow("Source", img0);
drag = 0;
flag = 0;
imshow("Source", src);
}
}
static void help()
{
cout << "\nThis program demonstrates using mouse events"
"\nCall:\n"
"./create_mask <image_name>\n"
"\n"
"\tleft mouse button - set a point to create mask shape"
"\n"
"\tright mouse button - create mask from points\n"
"\tmiddle mouse button - reset\n" << endl;
}
int main(int argc, char **argv)
{
cv::CommandLineParser parser(argc, argv, "{@input | ../data/lena.jpg | input image}");
help();
string input_image = parser.get<string>("@input");
if (input_image.empty())
{
parser.printMessage();
parser.printErrors();
CommandLineParser parser(argc, argv, "{@input | ../data/lena.jpg | input image}");
parser.about("This program demonstrates using mouse events\n");
parser.printMessage();
cout << "\n\tleft mouse button - set a point to create mask shape\n"
"\tright mouse button - create mask from points\n"
"\tmiddle mouse button - reset\n";
String input_image = parser.get<String>("@input");
src = imread(input_image);
if (src.empty())
{
printf("Error opening image: %s\n", input_image.c_str());
return 0;
}
}
Mat src = imread(input_image);
minx = INT_MAX; miny = INT_MAX; maxx = INT_MIN; maxy = INT_MIN;
img0 = src;
res1 = Mat::zeros(img0.size(),CV_8UC1);
final = Mat::zeros(img0.size(),CV_8UC3);
//////////// source image ///////////////////
namedWindow("Source", 1);
namedWindow("Source", WINDOW_AUTOSIZE);
setMouseCallback("Source", mouseHandler, NULL);
imshow("Source", img0);
imshow("Source", src);
waitKey(0);
return 0;
samples/cpp/tutorial_code/ImgProc/out_of_focus_deblur_filter/out_of_focus_deblur_filter.cpp
Executable
+149
View File
@@ -0,0 +1,149 @@
/**
* @brief You will learn how to recover an out-of-focus image by Wiener filter
* @author Karpushin Vladislav, karpushin@ngs.ru, https://github.com/VladKarpushin
*/
#include <iostream>
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
using namespace cv;
using namespace std;
void help();
void calcPSF(Mat& outputImg, Size filterSize, int R);
void fftshift(const Mat& inputImg, Mat& outputImg);
void filter2DFreq(const Mat& inputImg, Mat& outputImg, const Mat& H);
void calcWnrFilter(const Mat& input_h_PSF, Mat& output_G, double nsr);
const String keys =
"{help h usage ? | | print this message }"
"{image |original.JPG | input image name }"
"{R |53 | radius }"
"{SNR |5200 | signal to noise ratio}"
;
int main(int argc, char *argv[])
{
help();
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
parser.printMessage();
return 0;
}
int R = parser.get<int>("R");
int snr = parser.get<int>("SNR");
string strInFileName = parser.get<String>("image");
if (!parser.check())
{
parser.printErrors();
return 0;
}
Mat imgIn;
imgIn = imread(strInFileName, IMREAD_GRAYSCALE);
if (imgIn.empty()) //check whether the image is loaded or not
{
cout << "ERROR : Image cannot be loaded..!!" << endl;
return -1;
}
Mat imgOut;
//! [main]
// it needs to process even image only
Rect roi = Rect(0, 0, imgIn.cols & -2, imgIn.rows & -2);
//Hw calculation (start)
Mat Hw, h;
calcPSF(h, roi.size(), R);
calcWnrFilter(h, Hw, 1.0 / double(snr));
//Hw calculation (stop)
// filtering (start)
filter2DFreq(imgIn(roi), imgOut, Hw);
// filtering (stop)
//! [main]
imgOut.convertTo(imgOut, CV_8U);
normalize(imgOut, imgOut, 0, 255, NORM_MINMAX);
imwrite("result.jpg", imgOut);
return 0;
}
void help()
{
cout << "2018-07-12" << endl;
cout << "DeBlur_v8" << endl;
cout << "You will learn how to recover an out-of-focus image by Wiener filter" << endl;
}
//! [calcPSF]
void calcPSF(Mat& outputImg, Size filterSize, int R)
{
Mat h(filterSize, CV_32F, Scalar(0));
Point point(filterSize.width / 2, filterSize.height / 2);
circle(h, point, R, 255, -1, 8);
Scalar summa = sum(h);
outputImg = h / summa[0];
}
//! [calcPSF]
//! [fftshift]
void fftshift(const Mat& inputImg, Mat& outputImg)
{
outputImg = inputImg.clone();
int cx = outputImg.cols / 2;
int cy = outputImg.rows / 2;
Mat q0(outputImg, Rect(0, 0, cx, cy));
Mat q1(outputImg, Rect(cx, 0, cx, cy));
Mat q2(outputImg, Rect(0, cy, cx, cy));
Mat q3(outputImg, Rect(cx, cy, cx, cy));
Mat tmp;
q0.copyTo(tmp);
q3.copyTo(q0);
tmp.copyTo(q3);
q1.copyTo(tmp);
q2.copyTo(q1);
tmp.copyTo(q2);
}
//! [fftshift]
//! [filter2DFreq]
void filter2DFreq(const Mat& inputImg, Mat& outputImg, const Mat& H)
{
Mat planes[2] = { Mat_<float>(inputImg.clone()), Mat::zeros(inputImg.size(), CV_32F) };
Mat complexI;
merge(planes, 2, complexI);
dft(complexI, complexI, DFT_SCALE);
Mat planesH[2] = { Mat_<float>(H.clone()), Mat::zeros(H.size(), CV_32F) };
Mat complexH;
merge(planesH, 2, complexH);
Mat complexIH;
mulSpectrums(complexI, complexH, complexIH, 0);
idft(complexIH, complexIH);
split(complexIH, planes);
outputImg = planes[0];
}
//! [filter2DFreq]
//! [calcWnrFilter]
void calcWnrFilter(const Mat& input_h_PSF, Mat& output_G, double nsr)
{
Mat h_PSF_shifted;
fftshift(input_h_PSF, h_PSF_shifted);
Mat planes[2] = { Mat_<float>(h_PSF_shifted.clone()), Mat::zeros(h_PSF_shifted.size(), CV_32F) };
Mat complexI;
merge(planes, 2, complexI);
dft(complexI, complexI);
split(complexI, planes);
Mat denom;
pow(abs(planes[0]), 2, denom);
denom += nsr;
divide(planes[0], denom, output_G);
}
//! [calcWnrFilter]