From 634a690d6a318aa3b3fa4e277f29359901e47b8b Mon Sep 17 00:00:00 2001 From: Daniel Cohen Gindi Date: Wed, 22 Jan 2020 11:44:27 +0200 Subject: [PATCH] Added an implementation of Douglas Peucker with resultCount input https://github.com/danielgindi/Charts/pull/2848 --- .../charting/data/filter/ApproximatorN.java | 146 ++++++++++++++++++ 1 file changed, 146 insertions(+) create mode 100644 MPChartLib/src/main/java/com/github/mikephil/charting/data/filter/ApproximatorN.java diff --git a/MPChartLib/src/main/java/com/github/mikephil/charting/data/filter/ApproximatorN.java b/MPChartLib/src/main/java/com/github/mikephil/charting/data/filter/ApproximatorN.java new file mode 100644 index 0000000000..9351341c76 --- /dev/null +++ b/MPChartLib/src/main/java/com/github/mikephil/charting/data/filter/ApproximatorN.java @@ -0,0 +1,146 @@ + +package com.github.mikephil.charting.data.filter; + +import java.util.ArrayList; + +/** + * Implemented according to modified Douglas Peucker {@link} + * http://psimpl.sourceforge.net/douglas-peucker.html + */ +public class ApproximatorN +{ + public float[] reduceWithDouglasPeucker(float[] points, float resultCount) { + + int pointCount = points.length / 2; + + // if a shape has 2 or less points it cannot be reduced + if (resultCount <= 2 || resultCount >= pointCount) + return points; + + boolean[] keep = new boolean[pointCount]; + + // first and last always stay + keep[0] = true; + keep[pointCount - 1] = true; + + int currentStoredPoints = 2; + + ArrayList queue = new ArrayList<>(); + Line line = new Line(0, pointCount - 1, points); + queue.add(line); + + do { + line = queue.remove(queue.size() - 1); + + // store the key + keep[line.index] = true; + + // check point count tolerance + currentStoredPoints += 1; + + if (currentStoredPoints == resultCount) + break; + + // split the polyline at the key and recurse + Line left = new Line(line.start, line.index, points); + if (left.index > 0) { + int insertionIndex = insertionIndex(left, queue); + queue.add(insertionIndex, left); + } + + Line right = new Line(line.index, line.end, points); + if (right.index > 0) { + int insertionIndex = insertionIndex(right, queue); + queue.add(insertionIndex, right); + } + } while (queue.isEmpty()); + + float[] reducedEntries = new float[currentStoredPoints * 2]; + + for (int i = 0, i2 = 0, r2 = 0; i < currentStoredPoints; i++, r2 += 2) { + if (keep[i]) { + reducedEntries[i2++] = points[r2]; + reducedEntries[i2++] = points[r2 + 1]; + } + } + + return reducedEntries; + } + + private static float distanceToLine( + float ptX, float ptY, float[] + fromLinePoint1, float[] fromLinePoint2) { + float dx = fromLinePoint2[0] - fromLinePoint1[0]; + float dy = fromLinePoint2[1] - fromLinePoint1[1]; + + float dividend = Math.abs( + dy * ptX - + dx * ptY - + fromLinePoint1[0] * fromLinePoint2[1] + + fromLinePoint2[0] * fromLinePoint1[1]); + double divisor = Math.sqrt(dx * dx + dy * dy); + + return (float)(dividend / divisor); + } + + private static class Line { + int start; + int end; + + float distance = 0; + int index = 0; + + Line(int start, int end, float[] points) { + this.start = start; + this.end = end; + + float[] startPoint = new float[]{points[start * 2], points[start * 2 + 1]}; + float[] endPoint = new float[]{points[end * 2], points[end * 2 + 1]}; + + if (end <= start + 1) return; + + for (int i = start + 1, i2 = i * 2; i < end; i++, i2 += 2) { + float distance = distanceToLine( + points[i2], points[i2 + 1], + startPoint, endPoint); + + if (distance > this.distance) { + this.index = i; + this.distance = distance; + } + } + } + + boolean equals(final Line rhs) { + return (start == rhs.start) && (end == rhs.end) && index == rhs.index; + } + + boolean lessThan(final Line rhs) { + return distance < rhs.distance; + } + } + + private static int insertionIndex(Line line, ArrayList queue) { + int min = 0; + int max = queue.size(); + + while (!queue.isEmpty()) { + int midIndex = min + (max - min) / 2; + Line midLine = queue.get(midIndex); + + if (midLine.equals(line)) { + return midIndex; + } + else if (line.lessThan(midLine)) { + // perform search in left half + max = midIndex; + } + else { + // perform search in right half + min = midIndex + 1; + } + } + + return min; + } +}