/** * @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 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; }