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/**
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* @file Threshold.cpp
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* @brief Sample code that shows how to use the diverse threshold options offered by OpenCV
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* @author OpenCV team
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*/
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#include "opencv2/imgproc.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include <iostream>
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using namespace cv;
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using std::cout;
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/// Global variables
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int threshold_value = 0;
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int threshold_type = 3;
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int const max_value = 255;
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int const max_type = 4;
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int const max_binary_value = 255;
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Mat src, src_gray, dst;
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const char* window_name = "Threshold Demo";
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const char* trackbar_type = "Type: \n 0: Binary \n 1: Binary Inverted \n 2: Truncate \n 3: To Zero \n 4: To Zero Inverted";
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const char* trackbar_value = "Value";
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//![Threshold_Demo]
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/**
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* @function Threshold_Demo
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*/
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static void Threshold_Demo( int, void* )
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{
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/* 0: Binary
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1: Binary Inverted
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2: Threshold Truncated
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3: Threshold to Zero
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4: Threshold to Zero Inverted
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*/
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threshold( src_gray, dst, threshold_value, max_binary_value, threshold_type );
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imshow( window_name, dst );
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}
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//![Threshold_Demo]
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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//! [load]
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String imageName("stuff.jpg"); // by default
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if (argc > 1)
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{
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imageName = argv[1];
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}
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src = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
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if (src.empty())
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{
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cout << "Cannot read the image: " << imageName << std::endl;
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return -1;
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}
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cvtColor( src, src_gray, COLOR_BGR2GRAY ); // Convert the image to Gray
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//! [load]
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//! [window]
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namedWindow( window_name, WINDOW_AUTOSIZE ); // Create a window to display results
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//! [window]
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//! [trackbar]
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createTrackbar( trackbar_type,
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window_name, &threshold_type,
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max_type, Threshold_Demo ); // Create a Trackbar to choose type of Threshold
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createTrackbar( trackbar_value,
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window_name, &threshold_value,
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max_value, Threshold_Demo ); // Create a Trackbar to choose Threshold value
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//! [trackbar]
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Threshold_Demo( 0, 0 ); // Call the function to initialize
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/// Wait until the user finishes the program
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waitKey();
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return 0;
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}
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