private double CalSimilarity(List <CCorrCpts> pCorrCptsLt)
{
//数据准备
//X、Y的差值
double[] dblFrDiffX = new double[pCorrCptsLt.Count - 1];
double[] dblFrDiffY = new double[pCorrCptsLt.Count - 1];
double[] dblToDiffX = new double[pCorrCptsLt.Count - 1];
double[] dblToDiffY = new double[pCorrCptsLt.Count - 1];
for (int i = 0; i < pCorrCptsLt.Count - 1; i++)
{
dblFrDiffX[i] = pCorrCptsLt[i + 1].FrCpt.X - pCorrCptsLt[i].FrCpt.X;
dblFrDiffY[i] = pCorrCptsLt[i + 1].FrCpt.Y - pCorrCptsLt[i].FrCpt.Y;
dblToDiffX[i] = pCorrCptsLt[i + 1].ToCpt.X - pCorrCptsLt[i].ToCpt.X;
dblToDiffY[i] = pCorrCptsLt[i + 1].ToCpt.Y - pCorrCptsLt[i].ToCpt.Y;
}
//各线段长度
double[] dblFrDis = new double[pCorrCptsLt.Count - 1];
double[] dblToDis = new double[pCorrCptsLt.Count - 1];
for (int i = 0; i < pCorrCptsLt.Count - 1; i++)
{
dblFrDis[i] = Math.Sqrt(dblFrDiffX[i] * dblFrDiffX[i] + dblFrDiffY[i] * dblFrDiffY[i]);
dblToDis[i] = Math.Sqrt(dblToDiffX[i] * dblToDiffX[i] + dblToDiffY[i] * dblToDiffY[i]);
}
//Fr线段和To线段之间的角度差（设定为必然小于180度，用余弦求）
double[] dblDiffAngle = new double[pCorrCptsLt.Count - 1];
for (int i = 0; i < pCorrCptsLt.Count - 1; i++)
{
dblDiffAngle[i] = CGeoFunc.CalAngle(dblFrDiffX[i], dblFrDiffY[i], dblToDiffX[i], dblToDiffY[i]);
}
//计算最终的值
double dblSumNumerator = 0;
double dblSumDenominator = 0;
//double dblSumDenominator = dblFrAngle[0] * (dblFrDis[pCorrCptsLt.Count - 2] + dblFrDis[0]) + dblToAngle[0] * (dblToDis[pCorrCptsLt.Count - 2] + dblToDis[0]);
for (int i = 0; i < pCorrCptsLt.Count - 1; i++)
{
dblSumNumerator += dblDiffAngle[i] * (dblFrDis[i] + dblToDis[i]);
//dblSumDenominator += dblFrAngle[i] * (dblFrDis[i-1] + dblFrDis[i]) + dblToAngle[i] * (dblToDis[i-1] + dblToDis[i]);
dblSumDenominator += dblFrDis[i] + dblToDis[i];
}
double dblSimilarity = 1 - dblSumNumerator / (Math.PI * dblSumDenominator);
return(dblSimilarity);
}
public void RightAngelSimplification(CPolyline cpl, ref List <CPolyline> Cpllt, double dblThreshold, double verysmall)
{
// step1 首先顾及直角，对于每一条polyline，遍历线的除首尾点以外的点，找出夹角为90°±5°的特殊顶点
double dblAngelThreshold = Convert.ToDouble(this.TxtAngelThreshold.Text);
List <CPoint> CptLt = new List <CPoint>();
for (int i = 1; i < cpl.CptLt.Count - 1; i++)
{
List <CPoint> cptlt = new List <CPoint>();
// Step2 求各个特殊顶点包括扩展边在内的临边，主要是求扩展边
if (Math.Abs(CGeoFunc.CalAngle(cpl.CptLt[i - 1], cpl.CptLt[i], cpl.CptLt[i + 1]) - Math.PI / 2) <= dblAngelThreshold * Math.PI / 180)
{
cptlt.Add((cpl.CptLt[i - 1]));
cptlt.Add((cpl.CptLt[i + 1]));
for (int j = i - 1; j > 0; j--)
{
if (CGeoFunc.CalAngle(cpl.CptLt[i - 1], cpl.CptLt[i], cpl.CptLt[j - 1], cpl.CptLt[j]) < dblAngelThreshold * Math.PI / 180)
{
cptlt.Remove(cpl.CptLt[j]);
cptlt.Add(cpl.CptLt[j - 1]);
}
else
{
break;
}
}
for (int j = i + 1; j < cpl.CptLt.Count - 1; j++)
{
if (CGeoFunc.CalAngle(cpl.CptLt[i], cpl.CptLt[i + 1], cpl.CptLt[j], cpl.CptLt[j + 1]) < dblAngelThreshold * Math.PI / 180)
{
cptlt.Remove(cpl.CptLt[j]);
cptlt.Add(cpl.CptLt[j + 1]);
}
else
{
break;
}
}
}
//Step3 找出各个满足条件（两条邻边足够长）的特殊顶点，然后将它们视为断点进行分割
if (cptlt.Count == 2)
{
if (CGeoFunc.CalDis(cpl.CptLt[i], cptlt[0]) >= dblThreshold && CGeoFunc.CalDis(cpl.CptLt[i], cptlt[1]) >= dblThreshold)
{
CptLt.AddRange(cptlt);
CptLt.Add(cpl.CptLt[i]);
}
}
}
//删除CptLt中的重复点
for (int i = 0; i < CptLt.Count; i++)
{
for (int j = CptLt.Count - 1; j >= i + 1; j--)
{
if (CptLt[i].Equals2D(CptLt[j], verysmall))
{
CptLt.RemoveAt(j);
}
}
}
//分割断点
for (int i = CptLt.Count - 1; i >= 0; i--)
{
if (CptLt[i].Equals2D(cpl.CptLt[0], verysmall) || CptLt[i].Equals2D(cpl.CptLt[cpl.CptLt.Count - 1], verysmall))
{
CptLt.RemoveAt(i);
}
}
List <CPolyline> Cpllt1 = new List <CPolyline>();
Cpllt1.Add(cpl);
for (int i = 0; i < CptLt.Count; i++)
{
int intnum = 0;
for (int j = 0; j < Cpllt1.Count; j++)
{
for (int k = 1; k < Cpllt1[j].CptLt.Count - 1; k++)
{
if (CptLt[i].Equals2D(Cpllt1[j].CptLt[k], verysmall))
{
List <CPoint> cptlt1 = new List <CPoint>();
List <CPoint> cptlt2 = new List <CPoint>();
for (int n = 0; n <= k; n++)
{
cptlt1.Add(Cpllt1[j].CptLt[n]);
}
for (int n = k; n < Cpllt1[j].CptLt.Count; n++)
{
cptlt2.Add(Cpllt1[j].CptLt[n]);
}
Cpllt1.RemoveAt(j);
CPolyline cpl1 = new CPolyline(Cpllt1.Count + 1, cptlt1);
Cpllt1.Add(cpl1);
CPolyline cpl2 = new CPolyline(Cpllt1.Count + 2, cptlt2);
Cpllt1.Add(cpl2);
intnum += 1;
break;
}
}
if (intnum == 1)
{
break;
}
}
}
for (int i = 0; i < Cpllt1.Count; i++)
{
List <CPoint> cptlt0 = new List <CPoint>();
for (int j = 0; j < Cpllt1[i].CptLt.Count; j++)
{
CPoint cpt = new CPoint(j, (IPoint)Cpllt1[i].CptLt[j]);
cptlt0.Add(cpt);
}
CPolyline cpl1 = new CPolyline(i, cptlt0);
Cpllt.Add(cpl1);
}
}
private void btnRunCircle_Click(object sender, EventArgs e)
{
double dblRadius = Convert.ToDouble(this.txtRadius.Text);
string strSelectedLayer = this.cboLayer.Text;
IFeatureLayer pFeatureLayer = null;
CParameterInitialize ParameterInitialize = _DataRecords.ParameterInitialize;
//获取线状要素
try
{
for (int i = 0; i < ParameterInitialize.m_mapFeature.LayerCount; i++)
{
if (strSelectedLayer == ParameterInitialize.m_mapFeature.get_Layer(i).Name)
{
pFeatureLayer = (IFeatureLayer)ParameterInitialize.m_mapFeature.get_Layer(i);
}
}
}
catch (Exception)
{
MessageBox.Show("Please select a feature layer");
return;
}
//读取线数据
List <CPolyline> CPolylineLt = CHelpFunc.GetCPlLtByFeatureLayer(pFeatureLayer);
CPolyline cpl = CPolylineLt[0];
//将线状要素分成3600份（得到3601个坐标点）
List <CPoint> cptlt = new List <CPoint>();
for (int i = 0; i <= 3600; i++)
{
IPoint outPoint = new PointClass();
double dblRatio = Convert.ToDouble(i) / 3600;
cpl.pPolyline.QueryPoint(esriSegmentExtension.esriNoExtension, dblRatio, true, outPoint);
CPoint cpt = new CPoint(i, outPoint);
cptlt.Add(cpt);
}
//将圆分成3600份（得到3601个坐标点）
List <CPoint> CircleCptLt = new List <CPoint>();
double dblAdd = Math.PI / 1800;
double dblHalfPI = Math.PI / 2;
for (int i = 0; i <= 3600; i++)
{
double dblAngle = i * dblAdd;
double dblCricleX = dblRadius * Math.Cos(dblAngle + dblHalfPI); //由于本方法是从“最顶上的点”开始的，因此需加“PI / 2”
double dblCricleY = dblRadius * Math.Sin(dblAngle + dblHalfPI); //由于本方法是从“最顶上的点”开始的，因此需加“PI / 2”
CPoint cpt = new CPoint(i, dblCricleX, dblCricleY);
CircleCptLt.Add(cpt);
}
//由于物体是均匀的，各长度一致，因此不需定义数组
double dblFrDis = CGeoFunc.CalDis(CircleCptLt[0], CircleCptLt[1]);
double dblToDis = CGeoFunc.CalDis(cptlt[0], cptlt[1]);
//Fr线段和To线段之间的角度差（设定为必然小于180度，用余弦求）
double[] dblDiffAngle = new double[3600];
for (int i = 0; i < 3600; i++)
{
dblDiffAngle[i] = CGeoFunc.CalAngle(CircleCptLt[i], CircleCptLt[i + 1], cptlt[i], cptlt[i + 1]);
}
//计算最终的值
double dblSumNumerator = 0;
double dblSumDenominator = 0;
for (int i = 0; i < 3600; i++)
{
dblSumNumerator += dblDiffAngle[i] * (dblFrDis + dblToDis);
dblSumDenominator += dblFrDis + dblToDis;
}
double dblSimilarity = 1 - dblSumNumerator / (Math.PI * dblSumDenominator);
MessageBox.Show(dblSimilarity.ToString());
}
