/*
    * Licensed to the Apache Software Foundation (ASF) under one or more
    * contributor license agreements.  See the NOTICE file distributed with
    * this work for additional information regarding copyright ownership.
    * The ASF licenses this file to You under the Apache License, Version 2.0
    * (the "License"); you may not use this file except in compliance with
    * the License.  You may obtain a copy of the License at
    *
    *      https://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  
  /*
   * This is not the original file distributed by the Apache Software Foundation
   * It has been modified by the Hipparchus project
   */
  package org.hipparchus.samples.clustering;
  
  import java.awt.BorderLayout;
  import java.awt.Color;
  import java.awt.Component;
  import java.awt.Dimension;
  import java.awt.FlowLayout;
  import java.awt.Graphics;
  import java.awt.GridLayout;
  import java.awt.event.ActionEvent;
  import java.awt.event.ActionListener;
  import java.awt.image.BufferedImage;
  import java.awt.image.Raster;
  import java.awt.image.WritableRaster;
  import java.io.IOException;
  import java.util.ArrayList;
  import java.util.List;
  
  import javax.imageio.ImageIO;
  import javax.swing.BorderFactory;
  import javax.swing.Box;
  import javax.swing.ImageIcon;
  import javax.swing.JButton;
  import javax.swing.JLabel;
  import javax.swing.JPanel;
  import javax.swing.JSpinner;
  import javax.swing.SpinnerNumberModel;
  
  import org.hipparchus.clustering.CentroidCluster;
  import org.hipparchus.clustering.Clusterable;
  import org.hipparchus.clustering.KMeansPlusPlusClusterer;
  import org.hipparchus.samples.ExampleUtils;
  import org.hipparchus.samples.ExampleUtils.ExampleFrame;
  
  /**
   * This example shows how clustering can be applied to images.
   */
  //CHECKSTYLE: stop HideUtilityClassConstructor
  @SuppressWarnings("serial")
  public class ImageClusteringExample {
  
      /** Empty constructor.
       * <p>
       * This constructor is not strictly necessary, but it prevents spurious
       * javadoc warnings with JDK 18 and later.
       * </p>
       * @since 3.0
       */
      public ImageClusteringExample() { // NOPMD - unnecessary constructor added intentionally to make javadoc happy
          // nothing to do
      }
  
      /** Main frame for displaying clusters. */
      public static class Display extends ExampleFrame {
  
          /** Reference image. */
          private BufferedImage referenceImage;
  
          /** Cluster image. */
          private BufferedImage clusterImage;
  
          /** Reference raster. */
          private Raster referenceRaster;
  
          /** Painter for the clusters. */
          private ImagePainter painter;
  
          /** Spinner. */
          private JSpinner clusterSizeSpinner;
  
          /** Simple constructor.
           * @throws IOException if image cannot be created
           */
          public Display() throws IOException {
              setTitle("Hipparchus: Image Clustering Example");
              setSize(900, 350);
  
              setLayout(new FlowLayout());
 
             Box bar = Box.createHorizontalBox();
 
             ClassLoader classLoader = ExampleUtils.class.getClassLoader();
             referenceImage = ExampleUtils.resizeImage(
                     ImageIO.read(classLoader.getResourceAsStream("ColorfulBird.jpg")),
                     350,
                     240,
                     BufferedImage.TYPE_INT_RGB);
 
             referenceRaster = referenceImage.getData();
 
             clusterImage = new BufferedImage(referenceImage.getWidth(),
                                              referenceImage.getHeight(),
                                              BufferedImage.TYPE_INT_RGB);
 
             JLabel picLabel = new JLabel(new ImageIcon(referenceImage));
             bar.add(picLabel);
 
             painter = new ImagePainter(clusterImage.getWidth(), clusterImage.getHeight());
             bar.add(painter);
 
             JPanel controlBox = new JPanel();
             controlBox.setLayout(new GridLayout(5, 1));
             controlBox.setBorder(BorderFactory.createLineBorder(Color.black, 1));
 
             JPanel sizeBox = new JPanel();
             JLabel sizeLabel = new JLabel("Clusters:");
             sizeBox.add(sizeLabel);
 
             SpinnerNumberModel model = new SpinnerNumberModel(3, 2, 10, 1);
             clusterSizeSpinner = new JSpinner(model);
 
             sizeLabel.setLabelFor(clusterSizeSpinner);
             sizeBox.add(clusterSizeSpinner);
             controlBox.add(sizeBox, BorderLayout.NORTH);
 
             JButton startButton = new JButton("Cluster");
             startButton.setActionCommand("cluster");
             controlBox.add(startButton, BorderLayout.CENTER);
 
             bar.add(controlBox);
 
             add(bar);
 
             startButton.addActionListener(new ActionListener() {
                 public void actionPerformed(ActionEvent e) {
                     clusterImage();
                 }
             });
         }
 
         /** Display clusters.
          */
         private void clusterImage() {
             List<PixelClusterable> pixels = new ArrayList<PixelClusterable>();
             for (int row = 0; row < referenceImage.getHeight(); row++) {
                 for (int col = 0; col < referenceImage.getWidth(); col++) {
                     pixels.add(new PixelClusterable(col, row));
                 }
             }
 
             int clusterSize = ((Number) clusterSizeSpinner.getValue()).intValue();
             KMeansPlusPlusClusterer<PixelClusterable> clusterer =
                     new KMeansPlusPlusClusterer<PixelClusterable>(clusterSize);
             List<CentroidCluster<PixelClusterable>> clusters = clusterer.cluster(pixels);
 
             WritableRaster raster = clusterImage.getRaster();
             for (CentroidCluster<PixelClusterable> cluster : clusters) {
                 double[] color = cluster.getCenter().getPoint();
                 for (PixelClusterable pixel : cluster.getPoints()) {
                     raster.setPixel(pixel.x, pixel.y, color);
                 }
             }
 
             Display.this.repaint();
         }
 
         /** Container for one pixel that can be used in clusters. */
         private class PixelClusterable implements Clusterable {
 
             /** Abscissa. */
             private final int x;
 
             /** Ordinate. */
             private final int y;
 
             /** Color. */
             private double[] color;
 
             /** Simple constructor.
              * @param x abscissa
              * @param y ordinate
              */
             PixelClusterable(int x, int y) {
                 this.x = x;
                 this.y = y;
                 this.color = null;
             }
 
             /** {@inheritDoc} */
             @Override
             public double[] getPoint() {
                 if (color == null) {
                     color = referenceRaster.getPixel(x, y, (double[]) null);
                 }
                 return color;
             }
 
         }
 
         /** Painter for clusters. */
         private class ImagePainter extends Component {
 
             /** Width. */
             private int width;
 
             /** Height. */
             private int height;
 
             /** Simple constructor.
              * @param width width
              * @param height height
              */
             ImagePainter(int width, int height) {
                 this.width = width;
                 this.height = height;
             }
 
             /** {@inheritDoc} */
             @Override
             public Dimension getPreferredSize() {
                 return new Dimension(width, height);
             }
 
             /** {@inheritDoc} */
             @Override
             public Dimension getMinimumSize() {
                 return getPreferredSize();
             }
 
             /** {@inheritDoc} */
             @Override
             public Dimension getMaximumSize() {
                 return getPreferredSize();
             }
 
             /** {@inheritDoc} */
             @Override
             public void paint(Graphics g) {
                 g.drawImage(clusterImage, 0, 0, this);
             }
 
         }
 
     }
 
     /** Program entry point.
      * @param args program arguments (unused here)
      * @throws IOException if display frame cannot be created.
      */
     public static void main(String[] args) throws IOException {
         ExampleUtils.showExampleFrame(new Display());
     }
 
 }