/*
 * Copyright (c) 2011-2016, Peter Abeles. All Rights Reserved.
 *
 * This file is part of BoofCV (http://boofcv.org).
 *
 * Licensed 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
 *
 *   http://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.
 */

import boofcv.abst.feature.detect.line.DetectLineHoughPolar;
import boofcv.abst.feature.detect.line.DetectLineSegmentsGridRansac;
import boofcv.factory.feature.detect.line.ConfigHoughPolar;
import boofcv.factory.feature.detect.line.FactoryDetectLineAlgs;
import boofcv.gui.ListDisplayPanel;
import boofcv.gui.feature.ImageLinePanel;
import boofcv.gui.image.ShowImages;
import boofcv.io.UtilIO;
import boofcv.io.image.ConvertBufferedImage;
import boofcv.io.image.UtilImageIO;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.GrayS16;
import boofcv.struct.image.GrayU8;
import boofcv.struct.image.ImageGray;
import georegression.struct.line.LineParametric2D_F32;
import georegression.struct.line.LineSegment2D_F32;
import jhplot.*;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.util.List;

/**
 * Demonstrates simple examples for detecting lines and line segments.
 *
 * @author Peter Abeles
 */
public class identify_lines {

	// adjusts edge threshold for identifying pixels belonging to a line
	private static final float edgeThreshold = 25;
	// adjust the maximum number of found lines in the image
	private static final int maxLines = 10;

	private static ListDisplayPanel listPanel = new ListDisplayPanel();

	/**
	 * Detects lines inside the image using different types of Hough detectors
	 *
	 * @param image Input image.
	 * @param imageType Type of image processed by line detector.
	 * @param derivType Type of image derivative.
	 */
	public static
			void detectLines( BufferedImage image , 
							  Class imageType ,
							  Class derivType )
	{
		// convert the line into a single band image
		T input = ConvertBufferedImage.convertFromSingle(image, null, imageType );

		// Comment/uncomment to try a different type of line detector
		DetectLineHoughPolar detector = FactoryDetectLineAlgs.houghPolar(
				new ConfigHoughPolar(3, 30, 2, Math.PI / 180,edgeThreshold, maxLines), imageType, derivType);
//		DetectLineHoughFoot detector = FactoryDetectLineAlgs.houghFoot(
//				new ConfigHoughFoot(3, 8, 5, edgeThreshold,maxLines), imageType, derivType);
//		DetectLineHoughFootSubimage detector = FactoryDetectLineAlgs.houghFootSub(
//				new ConfigHoughFootSubimage(3, 8, 5, edgeThreshold,maxLines, 2, 2), imageType, derivType);

		List found = detector.detect(input);

		// display the results
		ImageLinePanel gui = new ImageLinePanel();
		gui.setBackground(image);
		gui.setLines(found);
		gui.setPreferredSize(new Dimension(image.getWidth(),image.getHeight()));

		listPanel.addItem(gui, "Found Lines");
	}

	/**
	 * Detects segments inside the image
	 *
	 * @param image Input image.
	 * @param imageType Type of image processed by line detector.
	 * @param derivType Type of image derivative.
	 */
	public static
	void detectLineSegments( BufferedImage image ,
							 Class imageType ,
							 Class derivType )
	{
		// convert the line into a single band image
		T input = ConvertBufferedImage.convertFromSingle(image, null, imageType );

		// Comment/uncomment to try a different type of line detector
		DetectLineSegmentsGridRansac detector = FactoryDetectLineAlgs.lineRansac(40, 30, 2.36, true, imageType, derivType);

		List found = detector.detect(input);

		// display the results
		ImageLinePanel gui = new ImageLinePanel();
		gui.setBackground(image);
		gui.setLineSegments(found);
		gui.setPreferredSize(new Dimension(image.getWidth(),image.getHeight()));

		listPanel.addItem(gui, "Found Line Segments");
	}
	
	public static void main( String args[] ) {


               String http="http://datamelt.org/examples/data/";
               Web.get(http+"polygons.png");
	       BufferedImage input = UtilImageIO.loadImage("polygons.png");

		detectLines(input, GrayU8.class, GrayS16.class);

		// line segment detection is still under development and only works for F32 images right now
		detectLineSegments(input, GrayF32.class, GrayF32.class);

		ShowImages.showWindow(listPanel, "Detected Lines", true);
	}
}