testing-repository/OpenCV_test/test6_imagemask/main.cpp

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#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
int main(int argc, char **argv)
{
std::string filename;
Mat image, hsv_image, mask;
int brightless = 0;
// Get Filename
std::cout << "Input Filename:";
std::cin >> filename;
// Load the image
if (filename != "")
{
image = imread(filename, IMREAD_COLOR);
if (image.empty())
{
std::cout << "Failed to open the image!" << std::endl;
return -1;
}
}
// Convert the image to HSV color and filter the background color
cvtColor(image, hsv_image, COLOR_BGR2HSV);
// Output the statistics
double minv, maxv;
Point minloc, maxloc;
std::vector<Mat> mv;
split(image, mv);
for (int i = 0; i < mv.size(); i++)
{
minMaxLoc(mv[i], &minv, &maxv, &minloc, &maxloc);
std::cout << "min:" << minv << " max:" << maxv << " minloc:"
<< minloc << " maxloc:" << maxloc << std::endl;
}
Mat mean, stddev;
meanStdDev(image, mean, stddev);
std::cout << "mean:" << std::endl << mean << std::endl;
std::cout << "stddev" << std::endl << stddev << std::endl;
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inRange(hsv_image, Scalar(0, 0, 221), Scalar(180, 30, 255), mask);
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namedWindow("Image Mask", WINDOW_NORMAL);
imshow("Image Mask", mask);
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while (1)
{
int c = waitKey(1);
if (c != -1)
{
std::cout << c << std::endl;
}
if (c == 27)
{
break;
}
}
destroyAllWindows();
return 0;
}