OpenCV_4.2.0/opencv_contrib-4.2.0/modules/ximgproc/samples/deriche_demo.cpp

120 lines
3.8 KiB
C++

/*
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#include <opencv2/core.hpp>
#include <opencv2/core/utility.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/ximgproc.hpp>
#include "opencv2/ximgproc/deriche_filter.hpp"
using namespace cv;
using namespace cv::ximgproc;
#include <iostream>
using namespace std;
int alDerive=100;
int alMean=100;
Ptr<Mat> img;
const string & winName = "Gradient Modulus";
static void DisplayImage(Mat x,string s)
{
vector<Mat> sx;
split(x, sx);
vector<double> minVal(3), maxVal(3);
for (size_t i = 0; i < sx.size(); i++)
{
minMaxLoc(sx[i], &minVal[i], &maxVal[i]);
}
maxVal[0] = *max_element(maxVal.begin(), maxVal.end());
minVal[0] = *min_element(minVal.begin(), minVal.end());
Mat uc;
x.convertTo(uc, CV_8U,255/(maxVal[0]-minVal[0]),-255*minVal[0]/(maxVal[0]-minVal[0]));
imshow(s, uc);
}
/**
* @function DericheFilter
* @brief Trackbar callback
*/
static void DericheFilter(int, void*)
{
Mat dst;
double d=alDerive/100.0,m=alMean/100.0;
Mat rx,ry;
GradientDericheX(*img.get(),rx,d,m);
GradientDericheY(*img.get(),ry,d,m);
DisplayImage(rx, "Gx");
DisplayImage(ry, "Gy");
add(rx.mul(rx),ry.mul(ry),dst);
sqrt(dst,dst);
DisplayImage(dst, winName );
}
int main(int argc, char* argv[])
{
Mat *m=new Mat;
cv::CommandLineParser parser(argc, argv, "{help h | | show help message}{@input | | input image}");
if (parser.has("help"))
{
parser.printMessage();
return -1;
}
string input_image = parser.get<string>("@input");
if (input_image.empty())
{
parser.printMessage();
parser.printErrors();
return -2;
}
if (argc==2)
*m = imread(input_image);
if (m->empty())
{
cout << "File not found or empty image\n";
return -3;
}
imshow("Original", *m);
img =Ptr<Mat>(m);
namedWindow( winName, WINDOW_AUTOSIZE );
/// Create a Trackbar for user to enter threshold
createTrackbar( "Derive:",winName, &alDerive, 400, DericheFilter );
createTrackbar( "Mean:", winName, &alMean, 400, DericheFilter );
DericheFilter(0,NULL);
waitKey();
return 0;
}