133 lines
3.8 KiB
C#
133 lines
3.8 KiB
C#
using System;
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using System.Collections.Generic;
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using System.Linq;
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using TriangleNet.Geometry;
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using TriangleNet.Meshing;
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using TriangleNet.Meshing.Algorithm;
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using TriangleNet.Rendering.Text;
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using TriangleNet.Tools;
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namespace TriangleNet.Examples
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{
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/// <summary>
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/// Scattered data interpolation without USE_Z or USE_ATTRIBS.
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/// </summary>
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internal class Example10
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{
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// The function we are sampling.
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private static readonly Func<Point, double> F = p => Math.Sin(p.X) * Math.Cos(p.Y);
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// The mesh size, for a structured grid (SIZE x SIZE) points.
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private const int SIZE = 20;
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public static bool Run(bool print = false)
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{
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// The input domain.
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var r = new Rectangle(0d, 0d, 10d, 10d);
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var mesh = GetScatteredDataMesh(r, out double[] data);
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//var mesh = GetStructuredDataMesh(r, out double[] data);
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if (print) SvgImage.Save(mesh, "example-10.svg", 500);
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// The points to interpolate.
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var xy = Generate.RandomPoints(50, r);
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var xyData = InterpolateData((Mesh)mesh, data, xy);
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double error = xy.Max(p => Math.Abs(xyData[p.ID] - F(p)));
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// L2 error
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//double error = Math.Sqrt(xy.Sum(p => Math.Pow(xyData[p.ID] - F(p), 2)));
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// Define tolerance dependent on mesh dimensions and size.
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double tolerance = 0.5 * Math.Max(r.Width, r.Height) / SIZE;
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return error < tolerance;
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}
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private static IMesh GetStructuredDataMesh(Rectangle domain, out double[] data)
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{
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var mesh = GenericMesher.StructuredMesh(domain, SIZE, SIZE);
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mesh.Renumber();
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// Generate function values for mesh points.
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data = new double[mesh.Vertices.Count];
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foreach (var item in mesh.Vertices)
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{
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data[item.ID] = F(item);
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}
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return mesh;
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}
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private static IMesh GetScatteredDataMesh(Rectangle domain, out double[] data)
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{
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var r = new Rectangle(domain);
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double h = domain.Width / SIZE;
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// Generate a rectangle boundary point set (20 points on each side).
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var input = Generate.Rectangle(r, 0.5);
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// Making sure we add some margin to the boundary.
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h = -h / 2;
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r.Resize(h, h);
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int n = Math.Max(1, SIZE * SIZE - input.Points.Count);
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// Add more input points (more sampling points, better interpolation).
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input.Points.AddRange(Generate.RandomPoints(n, r));
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var mesher = new GenericMesher(new Dwyer());
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// Generate mesh.
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var mesh = mesher.Triangulate(input.Points);
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mesh.Renumber();
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// Generate function values for mesh points.
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data = new double[mesh.Vertices.Count];
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foreach (var item in mesh.Vertices)
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{
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data[item.ID] = F(item);
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}
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return mesh;
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}
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private static double[] InterpolateData(Mesh mesh, double[] data, IEnumerable<Point> xy)
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{
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// The interpolated values.
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var values = new double[xy.Count()];
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var qtree = new TriangleQuadTree(mesh);
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int i = 0;
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foreach (var p in xy)
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{
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var tri = qtree.Query(p.X, p.Y);
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// For easy access of the interpolated values.
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p.ID = i;
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if (tri == null)
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{
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values[i] = float.NaN;
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}
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else
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{
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values[i] = Interpolation.InterpolatePoint(tri, p, data);
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}
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i++;
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}
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return values;
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}
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}
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} |