. Basic Thresholding Operations 基本的阀值操作

#include “opencv2/imgproc.hpp”
#include “opencv2/imgcodecs.hpp”
#include “opencv2/highgui.hpp”
#include

using namespace cv;
using std::cout;

int threshold_value = 0;
int threshold_type = 3;
int const max_value = 255;
int const max_type = 4;
int const max_binary_value = 255;
Mat src, src_gray, dst;
const char* window_name = “Threshold Demo”;
const char* trackbar_type = “Type: \n 0: Binary \n 1: Binary Inverted \n 2: Truncate \n 3: To Zero \n 4: To Zero Inverted”;
const char* trackbar_value = “Value”;

static void Threshold_Demo( int, void* )
{
/*
0: Binary
1: Binary Inverted
2: Threshold Truncated
3: Threshold to Zero
4: Threshold to Zero Inverted
*/
threshold( src_gray, dst, threshold_value, max_binary_value, threshold_type );
imshow( window_name, dst );
}

int main( int argc, char** argv )
{
String imageName("…/test.jpg"); // by default
if (argc > 1) imageName = argv[1];
src = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
if (src.empty())
{
cout << "Cannot read the image: " << imageName << std::endl;
return -1;
}

cvtColor( src, src_gray, COLOR_BGR2GRAY ); // Convert the image to Gray
namedWindow( window_name, WINDOW_AUTOSIZE ); // Create a window to display results
createTrackbar( trackbar_type,
                window_name, &threshold_type,
                max_type, Threshold_Demo ); // Create a Trackbar to choose type of Threshold
createTrackbar( trackbar_value,
                window_name, &threshold_value,
                max_value, Threshold_Demo ); // Create a Trackbar to choose Threshold value
Threshold_Demo( 0, 0 ); // Call the function to initialize
waitKey();
return 0;

}