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import java.awt.GridLayout;
import java.awt.Image;
import java.util.Hashtable;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class MatchTemplateDemoRun implements ChangeListener {
//! [declare]
/// Global Variables
Boolean use_mask = false;
Mat img = new Mat(), templ = new Mat();
Mat mask = new Mat();
int match_method;
JLabel imgDisplay = new JLabel(), resultDisplay = new JLabel();
//! [declare]
public void run(String[] args) {
if (args.length < 2) {
System.out.println("Not enough parameters");
System.out.println("Program arguments:\n<image_name> <template_name> [<mask_name>]");
System.exit(-1);
}
//! [load_image]
/// Load image and template
img = Imgcodecs.imread(args[0], Imgcodecs.IMREAD_COLOR);
templ = Imgcodecs.imread(args[1], Imgcodecs.IMREAD_COLOR);
//! [load_image]
if (args.length > 2) {
use_mask = true;
mask = Imgcodecs.imread(args[2], Imgcodecs.IMREAD_COLOR);
}
if (img.empty() || templ.empty() || (use_mask && mask.empty())) {
System.out.println("Can't read one of the images");
System.exit(-1);
}
matchingMethod();
createJFrame();
}
private void matchingMethod() {
Mat result = new Mat();
//! [copy_source]
/// Source image to display
Mat img_display = new Mat();
img.copyTo(img_display);
//! [copy_source]
//! [create_result_matrix]
/// Create the result matrix
int result_cols = img.cols() - templ.cols() + 1;
int result_rows = img.rows() - templ.rows() + 1;
result.create(result_rows, result_cols, CvType.CV_32FC1);
//! [create_result_matrix]
//! [match_template]
/// Do the Matching and Normalize
Boolean method_accepts_mask = (Imgproc.TM_SQDIFF == match_method || match_method == Imgproc.TM_CCORR_NORMED);
if (use_mask && method_accepts_mask) {
Imgproc.matchTemplate(img, templ, result, match_method, mask);
} else {
Imgproc.matchTemplate(img, templ, result, match_method);
}
//! [match_template]
//! [normalize]
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
//! [normalize]
//! [best_match]
/// Localizing the best match with minMaxLoc
Point matchLoc;
Core.MinMaxLocResult mmr = Core.minMaxLoc(result);
//! [best_match]
//! [match_loc]
/// For SQDIFF and SQDIFF_NORMED, the best matches are lower values.
/// For all the other methods, the higher the better
if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = mmr.minLoc;
} else {
matchLoc = mmr.maxLoc;
}
//! [match_loc]
//! [imshow]
/// Show me what you got
Imgproc.rectangle(img_display, matchLoc, new Point(matchLoc.x + templ.cols(), matchLoc.y + templ.rows()),
new Scalar(0, 0, 0), 2, 8, 0);
Imgproc.rectangle(result, matchLoc, new Point(matchLoc.x + templ.cols(), matchLoc.y + templ.rows()),
new Scalar(0, 0, 0), 2, 8, 0);
Image tmpImg = HighGui.toBufferedImage(img_display);
ImageIcon icon = new ImageIcon(tmpImg);
imgDisplay.setIcon(icon);
result.convertTo(result, CvType.CV_8UC1, 255.0);
tmpImg = HighGui.toBufferedImage(result);
icon = new ImageIcon(tmpImg);
resultDisplay.setIcon(icon);
//! [imshow]
}
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
if (!source.getValueIsAdjusting()) {
match_method = source.getValue();
matchingMethod();
}
}
private void createJFrame() {
String title = "Source image; Control; Result image";
JFrame frame = new JFrame(title);
frame.setLayout(new GridLayout(2, 2));
frame.add(imgDisplay);
//! [create_trackbar]
int min = 0, max = 5;
JSlider slider = new JSlider(JSlider.VERTICAL, min, max, match_method);
//! [create_trackbar]
slider.setPaintTicks(true);
slider.setPaintLabels(true);
// Set the spacing for the minor tick mark
slider.setMinorTickSpacing(1);
// Customizing the labels
Hashtable<Integer, JLabel> labelTable = new Hashtable<>();
labelTable.put(new Integer(0), new JLabel("0 - SQDIFF"));
labelTable.put(new Integer(1), new JLabel("1 - SQDIFF NORMED"));
labelTable.put(new Integer(2), new JLabel("2 - TM CCORR"));
labelTable.put(new Integer(3), new JLabel("3 - TM CCORR NORMED"));
labelTable.put(new Integer(4), new JLabel("4 - TM COEFF"));
labelTable.put(new Integer(5), new JLabel("5 - TM COEFF NORMED : (Method)"));
slider.setLabelTable(labelTable);
slider.addChangeListener(this);
frame.add(slider);
frame.add(resultDisplay);
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.pack();
frame.setVisible(true);
}
}
public class MatchTemplateDemo {
public static void main(String[] args) {
// load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// run code
new MatchTemplateDemoRun().run(args);
}
}
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