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/*
 * Copyright (C) 2007 Steve Ratcliffe
 *
 *  This program is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License version 2 as
 *  published by the Free Software Foundation.
 *
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *
 */

package uk.me.parabola.mkgmap.filters;

import java.util.ArrayList;
import java.util.List;

import uk.me.parabola.imgfmt.app.Coord;
import uk.me.parabola.mkgmap.general.MapElement;
import uk.me.parabola.mkgmap.general.MapLine;

/**
 * This is a filter that smooths out lines at low resolutions. If the element
 * has no size at all at the given resolution, then it is not passed on down
 * the chain at all is excluded from the map at that resolution.
 */

public class DouglasPeuckerFilter implements MapFilter {

        //private static final double ERROR_DISTANCE = 5.4 / 2; //One unit is 5.4 m, so error dist is 2.6m
                                                                                                                        //Can be increased more, but may lead to artifacts on T-crossings
        private final double filterDistance;
        private double maxErrorDistance;
        private int resolution;

        public DouglasPeuckerFilter(double filterDistance) {
                this.filterDistance = filterDistance;
        }

        public void init(FilterConfig config) {
                this.resolution = config.getResolution();
                this.maxErrorDistance = filterDistance * (1<< config.getShift());
        }

        /**
         * This applies to both lines and polygons.  We are going to smooth out
         * the points in the line so that you do not get jaggies.
         *
         * @param element A map element that will be a line or a polygon.
         * @param next This is used to pass the possibly transformed element onward.
         */

        public void doFilter(MapElement element, MapFilterChain next) {
                // First off we don't touch things if at the highest level of detail
                if (resolution == 24) {
                        // XXX 24 is not necessarily the highest level.
                        next.doFilter(element);
                        return;
                }

                MapLine line = (MapLine) element;

                List<Coord> points = line.getPoints();

                // Create a new list to rewrite the points into. Don't alter the original one
                List<Coord> coords = new ArrayList<>(points.size());
                coords.addAll(points);
                // Loop runs downwards, as the list length gets modified while running
                int endIndex = coords.size()-1;
                for(int i = endIndex-1; i > 0; i--) {
                        Coord p = coords.get(i);
                        //int highwayCount = p.getHighwayCount();

                        // If a node in the line use the douglas peucker algorithm for upper segment
                        // TODO: Should consider only nodes connected to roads visible at current resolution.
                        if (p.preserved()) {
                                // point is "preserved", don't remove it
                                douglasPeucker(coords, i, endIndex, maxErrorDistance);
                                endIndex = i;
                        }
                }
                // Simplify the rest
                douglasPeucker(coords, 0, endIndex, maxErrorDistance);
                if (coords.size() == points.size())
                        next.doFilter(line); // nothing changed, no need to copy
                else {
                        MapLine newline = line.copy();
                        newline.setPoints(coords);
                        next.doFilter(newline);
                }
        }

        /**
         * Reduces point density by Douglas-Peucker algorithm
         *
         * @param points The list of points to simplify.
         * @param startIndex First index of segment. The point with this index will not be changed
         * @param endIndex Last index of segment. The point with this index will not be changed
         * @param allowedError Maximal allowed error to be introduced by simplification.
         * returns number of removed points.
         */

        protected void douglasPeucker(List<Coord> points, int startIndex, int endIndex, double allowedError)
        {
                if (startIndex >= endIndex)
                        return;

                double maxDistance = 0;         //Highest distance     
                int maxIndex = endIndex;        //Index of highest distance

                Coord a = points.get(startIndex);
                Coord b = points.get(endIndex);
               

                // Find point with highest distance to line between start- and end-point.
                // handle also closed or nearly closed lines and spikes on straight lines
                for(int i = endIndex-1; i > startIndex; i--) {
                        Coord p = points.get(i);
                        double distance = p.shortestDistToLineSegment(a, b);
                        if (distance > maxDistance) {
                                maxDistance = distance;
                                maxIndex = i;
                        }
                }
                if (maxDistance > allowedError) {
                        // Call recursive for both parts
                        douglasPeucker(points, maxIndex, endIndex, allowedError);              
                        douglasPeucker(points, startIndex, maxIndex, allowedError);            
                }
                else {
                        // All points in tolerance, delete all of them.
                        // Remove the end-point if it is the same as the start point
                        if (a.highPrecEquals(b) && points.get(endIndex).preserved() == false)
                                endIndex++;

                        if (endIndex - startIndex > 4){
                                // faster than many repeated remove actions
                                points.subList(startIndex+1, endIndex).clear();  
                                return;
                        }
                       
                        // Remove the points in between
                        for (int i = endIndex - 1; i > startIndex; i--) {
                                points.remove(i);
                        }
                }
        }
}