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/**
* @file Threshold.cpp
* @brief Sample code that shows how to use the diverse threshold options offered by OpenCV
* @author OpenCV team
*/
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
using namespace cv;
using std::cout;
/// Global variables
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";
//![Threshold_Demo]
/**
* @function Threshold_Demo
*/
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 );
}
//![Threshold_Demo]
/**
* @function main
*/
int main( int argc, char** argv )
{
//! [load]
String imageName("../data/stuff.jpg"); // by default
if (argc > 1)
{
imageName = argv[1];
}
src = imread( imageName, IMREAD_COLOR ); // Load an image
if (src.empty())
{
cout << "Cannot read image: " << imageName << std::endl;
return -1;
}
cvtColor( src, src_gray, COLOR_BGR2GRAY ); // Convert the image to Gray
//! [load]
//! [window]
namedWindow( window_name, WINDOW_AUTOSIZE ); // Create a window to display results
//! [window]
//! [trackbar]
createTrackbar( trackbar_type,
window_name, &threshold_type,
max_type, Threshold_Demo ); // Create Trackbar to choose type of Threshold
createTrackbar( trackbar_value,
window_name, &threshold_value,
max_value, Threshold_Demo ); // Create Trackbar to choose Threshold value
//! [trackbar]
Threshold_Demo( 0, 0 ); // Call the function to initialize
/// Wait until user finishes program
waitKey();
return 0;
}