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Finding Holes in 2D Point Sets
The task is to find the holes in a set of 2D points within a cartesian grid system. The points represent soil sample locations, and holes could include giant rocks, swampy places, or lakes/ponds. The goal is to find the concave polygon that roughly defines these areas, adjusting the sensitivity of the algorithm to control the roughness or smoothness of the polygon.
Solution Approach
Steps:
Example Implementation (C#):
using System; using System.Collections.Generic; public class Holes { // Density map (2D array) private int[][] map; // List of hole segments (lines) private List<Line> segments; // Polygonized holes (concave polygons) private List<Polygon> holes; // Polygonization tolerance (higher value = smoother polygons) private double tolerance; // Initializes the hole detection algorithm. public Holes(int[][] points, int mapSize, double tolerance) { if (points == null || mapSize <= 0 || tolerance <= 0) { throw new ArgumentException("Invalid arguments"); } // Initialize the variables this.map = new int[mapSize][mapSize]; this.tolerance = tolerance; this.segments = new List<Line>(); this.holes = new List<Polygon>(); // Create density map CreateDensityMap(points, mapSize); } // Identifies holes in the density map. public void FindHoles() { if (map == null || map.Length == 0) { throw new InvalidOperationException("Density map not initialized."); } // Find hole cells List<Cell> holeCells = FindCells(0); // Group hole cells into segments List<List<Line>> lineGroups = GroupLines(holeCells); // Polygonize segments PolygonizeSegments(lineGroups); } // Helper functions for hole detection. private void CreateDensityMap(int[][] points, int mapSize) { // Scale and project points onto a grid for (int i = 0; i < points.Length; i++) { double scaledX = points[i][0] / points[0][0] * mapSize; double scaledY = points[i][1] / points[0][1] * mapSize; int x = (int)scaledX; int y = (int)scaledY; // Increment count in density map map[x][y]++; } } private List<Cell> FindCells(int threshold) { List<Cell> holeCells = new List<Cell>(); for (int i = 0; i < map.Length; i++) { for (int j = 0; j < map[i].Length; j++) { if (map[i][j] == 0 || map[i][j] <= threshold) { holeCells.Add(new Cell(i, j)); } } } return holeCells; } private List<List<Line>> GroupLines(List<Cell> holeCells) { // Group lines by proximity List<List<Line>> lineGroups = new List<List<Line>>(); foreach (Cell holeCell in holeCells) { List<Line> group = null; // Find existing group or create a new one for (int i = 0; i < lineGroups.Count; i++) { if (lineGroups[i].Find(line => line.Proximity(holeCell) <= tolerance) != null) { group = lineGroups[i]; break; } } if (group == null) { group = new List<Line>(); lineGroups.Add(group); } // Add horizontal/vertical lines group.Add(new Line(holeCell.x, holeCell.y, true)); group.Add(new Line(holeCell.x, holeCell.y, false)); } return lineGroups; } private void PolygonizeSegments(List<List<Line>> lineGroups) { foreach (List<Line> lineGroup in lineGroups) { Polygon polygon = PolygonizeSegment(lineGroup); if (polygon != null) { holes.Add(polygon); } } } private Polygon PolygonizeSegment(List<Line> lineSegment) { // Sort lines by angle (convex hull algorithm) lineSegment.Sort((a, b) => a.Angle.CompareTo(b.Angle)); // Remove duplicate lines List<Line> uniqueLines = new List<Line>(); foreach (Line line in lineSegment) { if (uniqueLines.Count == 0 || uniqueLines[uniqueLines.Count - 1].Angle != line.Angle) { uniqueLines.Add(line); } } // Polygonize lines List<Point> points = new List<Point>(); for (int i = 0; i < uniqueLines.Count; i++) { Point point = null; Line currentLine = uniqueLines[i]; if (uniqueLines[(i + 1) % uniqueLines.Count].Angle - currentLine.Angle > Math.PI) { point = currentLine.GetIntersection(uniqueLines[(i + 1) % uniqueLines.Count], true); } else { point = currentLine.GetIntersection(uniqueLines[(i + 1) % uniqueLines.Count], false); } if (point != null) { points.Add(point); } } return new Polygon(points); } // Helper classes for line/polygon representation. private class Line { public int x1, y1, x2, y2; public double angle; public bool isHorizontal; public Line(int x, int y, bool isHorizontal) { if (isHorizontal) { x1 = 0; y1 = y; x2 = map.GetLength(0) - 1; y2 = y; } else { x1 = x; y1 = 0; x2 = x; y2 = map[0].GetLength(0) - 1; } this.angle = Math.Atan2(y2 - y1, x2 - x1); this.isHorizontal = isHorizontal; } public double Angle { get { return angle; } } public double Proximity(Cell cell) { double distX, distY; if (isHorizontal) { distX = cell.x - x1; distY = cell.y - y1; } else { distX = cell.x - x2; distY = cell.y - y2; } return Math.Sqrt(distX * distX + distY * distY); } public Point GetIntersection(Line other, bool isConvex) { double denominator, numerator, tx, ty; if (isHorizontal) { denominator = (other.y2 - other.y1) - (y2 - y1); numerator = ((other.x2 - other.x1) * (y1 - other.y1)) - ((x2 - x1) * (other.y2 - other.y1)); tx = numerator / denominator; ty = other.y1 + ((tx - other.x1) * (other.y2 - other.y1)) / (other.x2 - other.x1); } else { denominator = (other.x2 - other.x1) - (x2 - x1);
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