public SortedDictionary<double, double> CalculateReduction(SortedDictionary<double, double> input, double percentage)
{
if (input.Count <= 2)
{
return input;
}
else if (percentage<= 0)
{
var first = input.First();
var last = input.Last();
return new SortedDictionary<double, double>() { {first.Key, first.Value}, {last.Key,last.Value} };
}
var m = new MathFunctions();
var temp = (from n in input select new Point(n.Key, n.Value)).ToList();
var result = temp.ToList();
var points = temp.Count;
double factor = 1.5;
double calcfactor = Math.Max(1.5, lastfactor / (factor * factor));
var euclistx = new List<double>();
for (int i = 0; i < temp.Count - 1; i++)
{
euclistx.Add(Math.Sqrt((temp[i].X - temp[i + 1].X) * (temp[i].X - temp[i + 1].X)));
}
var thresholdx = Convert.ToDouble(euclistx.Average());
var thresh = GetAveragePerpendicularDistance(temp);
var xpercentage = 1.0;
var difftotal = m.CalculateDifference(temp, new List<Point>() { temp.First(), temp.Last() });
while (xpercentage > percentage)
{
//var intermediate = m.DouglasPeuckerReduction(temp, calcfactor * thresh);
var intermediate = m.DouglasPeuckerReductionNoStack(temp, calcfactor * thresh);
calcfactor = calcfactor * factor;
lastfactor = calcfactor;
var diff = m.CalculateDifference(temp, intermediate);
xpercentage = 1 - (diff / difftotal);
if (xpercentage > percentage)
result = intermediate.ToList();
}
var resultdict = new SortedDictionary<double, double>();
foreach ( var n in result)
resultdict.Add(n.X,n.Y);
return resultdict;
}
public SortedDictionary<double, double> CalculateReduction(SortedDictionary<double, double> input, int amountofpoints)
{
if (input.Count <= 2 )
{
return input;
}
else if (amountofpoints <= 2)
{
var first = input.First();
var last = input.Last();
return new SortedDictionary<double, double>() { { first.Key, first.Value }, { last.Key, last.Value } };
}
var m = new MathFunctions();
var temp = (from n in input select new Point(n.Key, n.Value)).ToList();
var result = temp.ToList();
double factor = 1.5;
double calcfactor = Math.Max(1.5, lastfactor / (factor * factor));
var euclistx = new List<double>();
for (int i = 0; i < temp.Count - 1; i++)
{
euclistx.Add(Math.Sqrt((temp[i].X - temp[i + 1].X) * (temp[i].X - temp[i + 1].X)));
}
var thresholdx = Convert.ToDouble(euclistx.Average())/100.0;
var thresh = GetAveragePerpendicularDistance(temp);
var numberofpoints = input.Count;
while (numberofpoints >= amountofpoints)
{
var intermediate = m.DouglasPeuckerReduction(temp, calcfactor * thresholdx);
calcfactor = calcfactor * factor;
lastfactor = calcfactor;
numberofpoints = intermediate.Count;
if (numberofpoints >= amountofpoints)
result = intermediate.ToList();
}
var resultdict = new SortedDictionary<double, double>();
foreach (var n in result)
resultdict.Add(n.X, n.Y);
return resultdict;
}
