private void btnRecognize_Click(object sender, EventArgs e)
{
var ds = new DownSample(_entryImage);
_downSampled = ds.DoDownSampling(_downSampleWidth, _downSampleHeight);
pnlSample.Invalidate();
char bestChar = '?';
double bestDistance = double.MaxValue;
foreach (char c in _letterDictionary.Keys)
{
double[] data = _letterDictionary[c];
double dist = _distCalc.Calculate(data, _downSampled);
if (dist < bestDistance)
{
bestDistance = dist;
bestChar = c;
}
}
MessageBox.Show(@"The letter closely matches: " + bestChar, @"Recognize");
ClearEntry();
}
/// <summary>
/// Calculate the growth potential for a candidate cell. Evaluates the distance between the candidate cell's info
/// vector and the two growth vectors in the genome. The minimum of these two vectors will be returned if
/// it is below a specified minimum threshold.
/// </summary>
/// <param name="universe">The universe to evaluate.</param>
/// <param name="row">The row to evaluate.</param>
/// <param name="col">The column to evaluate.</param>
/// <param name="genome">The genome.</param>
/// <returns>The minimum distance.</returns>
private double GetGrowthPotential(PlantUniverse universe, int row, int col, double[] genome)
{
double[] cellVec = universe.GetCellInfoVector(row, col);
double d1 = _dist.Calculate(cellVec, 0, genome, PlantUniverse.CellVectorLength * 2,
PlantUniverse.CellVectorLength);
double d2 = _dist.Calculate(cellVec, 0, genome, PlantUniverse.CellVectorLength * 3,
PlantUniverse.CellVectorLength);
double result = Math.Min(d1, d2);
if (result > PlantUniverse.MinGrowthDist)
{
result = -1;
}
return(result);
}
public void TestDistanceCalc()
{
ICalculateDistance calc = new EuclideanDistance();
double[] pos1 = { 0.5, 1.0, 2.5 };
double[] pos2 = { 0.1, 2.0, -2.5 };
Assert.AreEqual(5.1146, calc.Calculate(pos1, pos2), 0.001);
}
public void TestRun()
{
var anneal = new DiscreteAnnealSubclass(1000, 400, 1);
while (!anneal.Done)
{
anneal.Iteration();
}
ICalculateDistance dist = new EuclideanDistance();
Assert.AreEqual(1000, anneal.K);
Assert.AreEqual(0, dist.Calculate(anneal.Best, DiscreteAnnealSubclass.Ideal), AIFH.DefaultPrecision);
Assert.AreEqual(0, anneal.BestScore, AIFH.DefaultPrecision);
}