/// <summary>
/// 評価関数
/// </summary>
/// <param name="pos">位置</param>
/// <param name="maxval">ブロブの面積</param>
/// <param name="pos_pre">前回の目標位置</param>
/// <param name="distance0">距離定数</param>
public static double Cal_Evaluate(CvPoint2D64f pos, double maxval, CvPoint2D64f pos_pre, double distance0)
{
double distance = Cal_distance(pos, pos_pre);
double eval = maxval * Math.Exp(-distance / distance0);
return(eval);
}
/// <summary>
/// 最適blobの選定
/// </summary>
/// <remarks>
/// 最適blobの選定（areaの大きさと前回からの距離）
/// </remarks>
public int mesure(CvBlobs blobs)
{
if (blobs.Count == 0)
{
return(0);
}
CvPoint2D64f pos_ans = new CvPoint2D64f(-1, -1);
CvBlob maxBlob = blobs.LargestBlob();
int max_label = blobs.GreaterBlob().Label;
if (blobs.Count == 0)
{
return(0);
}
pos_ans = maxBlob.Centroid;
distance0 = Cal_distance_const(distance_pre);
if (blobs.Count > 1)
{
// 最適blobの選定
double eval, eval_max = 0;
foreach (var item in blobs)
{
eval = position_mesure.Cal_Evaluate(item.Value.Centroid, item.Value.Area, pos_pre, distance0);
if (eval > eval_max)
{
eval_max = eval;
max_label = item.Key;
pos_ans = item.Value.Centroid;
Console.WriteLine("{0} | Centroid:{1} Area:{2} eval:{3}", item.Key, item.Value.Centroid, item.Value.Area, eval);
//w.WriteLine("{0} {1} {2} {3} {4}", dis, dv, i, item.Key, item.Value.Area);
}
//sw.Stop(); t5 = 1000.0 * sw.ElapsedTicks / Stopwatch.Frequency; sw.Reset(); sw.Start();
Console.WriteLine(" pos_ans:{0}", pos_ans);
}
}
double dis = Cal_distance(pos_ans, pos_pre);
if (distance_pre > dis)
{
distance_pre = (1 - dist_alpha) * distance_pre + dist_alpha * dis;
}
else
{
distance_pre = dis;
}
pos_pre = pos_ans;
return(max_label);
}
/// <summary>
/// ConvexityDefectsの描画
/// </summary>
/// <param name="img"></param>
/// <param name="defect"></param>
private void DrawDefects(IplImage img, CvSeq <CvConvexityDefect> defect)
{
int count = 0;
foreach (CvConvexityDefect item in defect)
{
CvPoint p1 = item.Start, p2 = item.End;
double dist = GetDistance(p1, p2);
CvPoint2D64f mid = GetMidpoint(p1, p2);
img.DrawLine(p1, p2, CvColor.White, 3);
img.DrawCircle(item.DepthPoint, 10, CvColor.Green, -1);
img.DrawLine(mid, item.DepthPoint, CvColor.White, 1);
Console.WriteLine("No:{0} Depth:{1} Dist:{2}", count, item.Depth, dist);
count++;
}
}
/// <summary>
/// Set central/hu moments and centroid value from moment values (M**)
/// </summary>
public void SetMoments()
{
// 重心
Centroid = new CvPoint2D64f(M10 / Area, M01 / Area);
// 各モーメント
U11 = M11 - (M10 * M01) / M00;
U20 = M20 - (M10 * M10) / M00;
U02 = M02 - (M01 * M01) / M00;
double m00Pow2 = M00 * M00;
N11 = U11 / m00Pow2;
N20 = U20 / m00Pow2;
N02 = U02 / m00Pow2;
P1 = N20 + N02;
double nn = N20 - N02;
P2 = nn * nn + 4.0 * (N11 * N11);
}
/// <summary>
/// 回転座標計算ルーチン
/// IN:中心座標 CvPoint2D64f
/// 半径 double
/// 回転角 double
/// OUT:目標座標 CvPoint2D64f
/// </summary>
/// <param name="capacity">画像表示用回転座標計算ルーチン</param>
public CvPoint2D64f Rotation(CvPoint2D64f xy, double r, double theta)
{
double sinth = 0, costh = r;
CvPoint2D64f ans = new CvPoint2D64f();
if (appSettings.CamPlatform == Platform.MT2 && udpkv.mt2mode == udpkv.mmWest)
{
sinth = Math.Sin(-(theta + 90) * Math.PI / 180.0);
costh = Math.Cos(-(theta + 90) * Math.PI / 180.0);
ans.Y = -costh * r;
ans.X = +sinth * r;
}
if (appSettings.CamPlatform == Platform.MT2 && udpkv.mt2mode == udpkv.mmEast)
{
sinth = Math.Sin(-(theta + 90) * Math.PI / 180.0);
costh = Math.Cos(-(theta + 90) * Math.PI / 180.0);
ans.Y = -costh * r;
ans.X = +sinth * r;
}
return(ans + xy);
}
public CvPoint2D64f convertKinectToProjector(OpenCvSharp.CvPoint3D64f kinectPoint)
{
CvPoint2D64f outp = new CvPoint2D64f();
//Debug.Log("In: " + kinectPoint.X + " " +kinectPoint.Y + " " +kinectPoint.Z);
//xp = (q1*xk + q2*yk + q3*zk + q4)/(q9*xk + q10*yk + q11*zk + 1)
//outp.X = (result.get(0,0)*kinectPoint.x + result.get(0,1)*kinectPoint.y + result.get(0,2)*kinectPoint.z + result.get(0,3))/
// (result.get(0,8)*kinectPoint.x + result.get(0,9)*kinectPoint.y + result.get(0,10)*kinectPoint.z + 1);
outp.X = ((result.Get<double>(0, 0) * kinectPoint.X) + (result.Get<double>(0, 1) * kinectPoint.Y) + (result.Get<double>(0, 2) * kinectPoint.Z) + result.Get<double>(0, 3)) /
((result.Get<double>(0, 8) * kinectPoint.X) + (result.Get<double>(0, 9) * kinectPoint.Y) + (result.Get<double>(0, 10) * kinectPoint.Z) + 1);
//yp = (q5*xk + q6*yk + q7*zk + q8)/(q9*xk + q10*yk + q11*zk + 1)
//outp.y = (result.get(0, 4) * kinectPoint.x + result.get(0, 5) * kinectPoint.y + result.get(0, 6) * kinectPoint.z + result.get(0, 7)) /
// (result.get(0, 8) * kinectPoint.x + result.get(0, 9) * kinectPoint.y + result.get(0, 10) * kinectPoint.z + 1);
outp.Y = ((result.Get<double>(0, 4) * kinectPoint.X) + (result.Get<double>(0, 5) * kinectPoint.Y) + (result.Get<double>(0, 6) * kinectPoint.Z) + result.Get<double>(0, 7)) /
((result.Get<double>(0, 8) * kinectPoint.X) + (result.Get<double>(0, 9) * kinectPoint.Y) + (result.Get<double>(0, 10) * kinectPoint.Z) + 1);
//Debug.Log(outp.X + " " + outp.Y);
//outp.X = ((result.Get<double>(0, 0) * kinectPoint.X) + (result.Get<double>(1,0) * kinectPoint.Y) + (result.Get<double>(2,0) * kinectPoint.Z) + result.Get<double>(3,0)) /
// ((result.Get<double>(8,0) * kinectPoint.X) + (result.Get<double>(9,0) * kinectPoint.Y) + (result.Get<double>(10,0) * kinectPoint.Z) + 1);
//outp.Y = ((result.Get<double>(4,0) * kinectPoint.X) + (result.Get<double>(5,0) * kinectPoint.Y) + (result.Get<double>(6,0) * kinectPoint.Z) + result.Get<double>(7,0)) /
// ((result.Get<double>(8,0) * kinectPoint.X) + (result.Get<double>(9,0) * kinectPoint.Y) + (result.Get<double>(10,0) * kinectPoint.Z) + 1);
return outp;
}
/// <summary>
/// 1チャンネル画像のサブピクセル値を返します．座標の小数点以下が0の場合にその座標の値と等しくなります
/// </summary>
/// <param name="mat">1チャンネル画像</param>
/// <param name="point">座標</param>
/// <param name="invalidValue">無効とみなされる値</param>
/// <returns></returns>
public static double?Get2DSubPixel(CvMat mat, CvPoint2D64f point, double invalidValue)
{
int preX = (int)Math.Floor(point.X);
int preY = (int)Math.Floor(point.Y);
int postX = preX == point.X ? preX : preX + 1;
int postY = preY == point.Y ? preY : preY + 1;
double fracX = point.X - preX;
double fracY = point.Y - preY;
if (postX >= mat.Cols || postY >= mat.Rows)
{
return(null);
}
double depth00 = mat[preY, preX];
double depth01 = mat[preY, postX];
double depth10 = mat[postY, preX];
double depth11 = mat[postY, postX];
if (depth00 == invalidValue || depth01 == invalidValue || depth10 == invalidValue || depth11 == invalidValue)
{
return(null);
}
return(CalcEx.Lerp(CalcEx.Lerp(depth00, depth01, fracX), CalcEx.Lerp(depth10, depth11, fracX), fracY));
}
/// <summary>
/// 画像表示ルーチン
/// </summary>
/// <param name="capacity">画像表示用タイマールーチン</param>
private void timerDisplay_Tick(object sender, EventArgs e)
{
if (this.States == STOP)
{
return;
}
//if (img_dmk3 == null) return;
//OpenCV 表示ルーチン
if (imgdata.img != null)
{
// カラー判定
if (cam_color == Camera_Color.mono)
{
if (checkBoxDispAvg.Checked == true)
{
// 移動平均画像の表示
double scale = 1.0;
Cv.ConvertScale(imgAvg, img_dmk, scale);
Cv.CvtColor(img_dmk, img_dmk3, ColorConversion.GrayToBgr);
}
else
{
Cv.CvtColor(imgdata.img, img_dmk3, ColorConversion.GrayToBgr);
}
}
else
{
Cv.CvtColor(imgdata.img, img_dmk3, ColorConversion.BayerGbToBgr);
}
double k1 = 1.3333; //4deg
double k2 = 0.3333; //直径1deg
double roa = appSettings.Roa;
CvPoint2D64f OCPoint = new CvPoint2D64f(appSettings.Xoa, appSettings.Yoa);
Cv.Circle(img_dmk3, OCPoint, (int)appSettings.Roa, new CvColor(0, 255, 0));
CvPoint2D64f Point1;
CvPoint2D64f Point2;
String str;
if (udpkv.mt2mode == udpkv.mmWest)
{
Point1 = Rotation(OCPoint, k1 * roa, theta_c);
Point2 = Rotation(OCPoint, k2 * roa, theta_c);
Cv.Line(img_dmk3, Point1, Point2, new CvColor(0, 205, 0));
Cv.Circle(img_dmk3, Point1, 5, new CvColor(0, 255, 0)); // Arrow
Point1 = Rotation(OCPoint, k1 * roa, theta_c + 90);
Point2 = Rotation(OCPoint, k2 * roa, theta_c + 90);
Cv.Line(img_dmk3, Point1, Point2, new CvColor(0, 205, 0));
Point1 = Rotation(OCPoint, k1 * roa, theta_c + 180);
Point2 = Rotation(OCPoint, k2 * roa, theta_c + 180);
Cv.Line(img_dmk3, Point1, Point2, new CvColor(0, 205, 0));
Point1 = Rotation(OCPoint, k1 * roa, theta_c + 270);
Point2 = Rotation(OCPoint, k2 * roa, theta_c + 270);
Cv.Line(img_dmk3, Point1, Point2, new CvColor(230, 105, 0));
str = String.Format("ID:{4,7:D1} W: dAz({5,6:F1},{6,6:F1}) dPix({0,6:F1},{1,6:F1})({2,6:F0})({3,0:00}), th:{7,6:F1}", gx, gy, max_val, max_label, id, daz, dalt, theta_c);
}
else
{
Point1 = Rotation(OCPoint, k1 * roa, theta_c);
Point2 = Rotation(OCPoint, k2 * roa, theta_c);
Cv.Line(img_dmk3, Point1, Point2, new CvColor(0, 205, 0));
//Cv.Circle(img_dmk3, Point1, 5, new CvColor(0, 255, 0)); // Arrow
Point1 = Rotation(OCPoint, k1 * roa, theta_c + 90);
Point2 = Rotation(OCPoint, k2 * roa, theta_c + 90);
Cv.Line(img_dmk3, Point1, Point2, new CvColor(230, 105, 0));
//Cv.Line(img_dmk3, Point1, Point2, new CvColor(0, 205, 0));
Point1 = Rotation(OCPoint, k1 * roa, theta_c + 180);
Point2 = Rotation(OCPoint, k2 * roa, theta_c + 180);
Cv.Line(img_dmk3, Point1, Point2, new CvColor(0, 205, 0));
Cv.Circle(img_dmk3, Point1, 5, new CvColor(0, 255, 0)); // Arrow
Point1 = Rotation(OCPoint, k1 * roa, theta_c + 270);
Point2 = Rotation(OCPoint, k2 * roa, theta_c + 270);
Cv.Line(img_dmk3, Point1, Point2, new CvColor(0, 205, 0));
//Cv.Line(img_dmk3, Point1, Point2, new CvColor(230, 105, 0));
str = String.Format("ID:{4,7:D1} E: dAz({5,6:F1},{6,6:F1}) dPix({0,6:F1},{1,6:F1})({2,6:F0})({3,0:00}), th:{7,6:F1}", gx, gy, max_val, max_label, id, daz, dalt, theta_c);
}
img_dmk3.PutText(str, new CvPoint(6, 12), font, new CvColor(0, 150, 250));
img_dmk3.Circle(new CvPoint((int)Math.Round(gx), (int)Math.Round(gy)), 15, new CvColor(0, 100, 255));
try
{
pictureBox1.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(img_dmk3);
}
catch (System.ArgumentException)
{
this.Invoke(new dlgSetString(ShowRText), new object[] { richTextBox1, id.ToString() });
//System.Diagnostics.Trace.WriteLine(ex.Message);
//System.Console.WriteLine(ex.Message);
return;
}
catch (System.Exception ex)
{
//すべての例外をキャッチする
//例外の説明を表示する
//匿名デリゲートで表示する
this.Invoke(new dlgSetString(ShowRText), new object[] { richTextBox1, ex.ToString() });
//System.Diagnostics.Trace.WriteLine(ex.Message);
//System.Console.WriteLine(ex.Message);
return;
}
}
string s = null;
if (appSettings.CamPlatform == Platform.MT2)
{
//string s = string.Format("KV:[x2:{0:D6} y2:{1:D6} x2v:{2:D5} y2v:{3:D5} {4} {5}]\n", udpkv.x2pos, udpkv.y2pos, udpkv.x2v, udpkv.y2v, udpkv.binStr_status, udpkv.binStr_request);
s = string.Format("KV:[x1:{0:D6} y1:{1:D6} Az1:{2,6:F1} Alt1:{3,6:F1}]\n", udpkv.xpos, udpkv.ypos, udpkv.az1_c, udpkv.alt1_c);
}
if (appSettings.CamPlatform == Platform.MT3)
{
s = string.Format("KV:[x2:{0:D6} y2:{1:D6} Az2:{2,6:F1} Alt2:{3,6:F1}]\n", udpkv.x2pos, udpkv.y2pos, udpkv.az2_c, udpkv.alt2_c);
}
label_X2Y2.Text = s;
// label_ID.Text = max_label.ToString("00000");
//this.Invoke(new dlgSetString(ShowRText), new object[] { richTextBox1, id.ToString() });
// Status表示
//this.Invoke(new dlgSetString(ShowLabelText), new object[] { label_X2Y2, String.Format("({0},{1}", udpkv.az2_c, udpkv.alt2_c) });
//long frame_timestamp=0;
//double dFramerate = 0; // Frame rate[fr/s]
//double dExpo = 0; // Exposure[us]
//long igain = 0; //Gain
// Error rate
long frame_total = 0, frame_error = 0;
long frame_underrun = 0, frame_shoved = 0, frame_dropped = 0;
double err_rate = 0;
// IDS
if (cam_maker == Camera_Maker.IDS)
{
cam.Timing.Framerate.GetCurrentFps(out dFramerate); //IDS
statusRet = cam.Timing.Exposure.Get(out dExpo); //[ms]
dExpo *= 1000; // [us]
int ig;
cam.Gain.Hardware.Scaled.GetMaster(out ig);
igain = ig;
uEye.Types.CaptureStatus captureStatus;
cam.Information.GetCaptureStatus(out captureStatus); //IDS ueye
frame_error = (long)captureStatus.Total;
frame_total = (long)(imageInfo.FrameNumber - ueye_frame_number);
//Int32 s32Value;
//statusRet = cam.Timing.PixelClock.Get(out s32Value);
// toolStripStatusLabelPixelClock.Text = "fr time[0.1ms]: " + 10000*(elapsed21-elapsed20)/(double)(Stopwatch.Frequency) +" "+ 10000*(elapsed22-elapsed21)/(double)(Stopwatch.Frequency);
}
if (cam_maker == Camera_Maker.Basler)
{
dFramerate = m_imageProvider.GetFrameRate(); // Basler
dExpo = GetExposureTime();
igain = GetGain();
frame_timestamp = m_imageProvider.GetTimestamp();
frame_total = m_imageProvider.Get_Statistic_Total_Buffer_Count();
frame_underrun = m_imageProvider.Get_Statistic_feature("Statistic_Buffer_Underrun_Count");
frame_error = frame_underrun + m_imageProvider.Get_Statistic_feature("Statistic_Failed_Buffer_Count");
//frame_dropped = m_imageProvider.Get_Statistic_feature("Statistic_Total_Packet_Count");
}
if (cam_maker == Camera_Maker.AVT)
{
try
{
dFramerate = StatFrameRate(); //AVT
dExpo = ExposureTimeAbs();
}
catch
{
MessageBox.Show("error1");
}
igain = GainRaw();
frame_total = StatFrameDelivered();
frame_underrun = StatFrameUnderrun();// AVT
frame_shoved = StatFrameShoved();
frame_dropped = StatFrameDropped();
frame_error = frame_underrun + frame_dropped;
}
toolStripStatusLabelFramerate.Text = "Fps: " + dFramerate.ToString("000.0");
toolStripStatusLabelExposure.Text = "Exposure: " + (dExpo / 1000.0).ToString("00.00") + "[ms]";
toolStripStatusLabelGain.Text = "Gain: " + igain.ToString("00");
toolStripStatusLabelFailed.Text = "Failed U:" + frame_underrun.ToString("0000") + " S:" + frame_shoved.ToString("0000") + " D:" + frame_dropped.ToString("0000");
//label_frame_rate.Text = (1000 * lap21).ToString("0000") + "[us] " + (1000 * lap22).ToString("0000");
//double err_rate = 100.0 * (frame_total / (double)id);
if (frame_total > 0)
{
err_rate = 100.0 * (frame_error / (double)frame_total);
}
toolStripStatusLabelID.Text = "Frames: " + frame_total.ToString("0000") + " " + frame_error.ToString("0000") + " " + err_rate.ToString("00.00");// +"TS:" + timestamp;
if (this.States == SAVE)
{
this.buttonSave.BackColor = Color.Red;
this.buttonSave.Enabled = false;
this.ButtonSaveEnd.Enabled = true;
}
if (this.States == RUN)
{
this.buttonSave.BackColor = Color.FromKnownColor(KnownColor.Control);
this.buttonSave.Enabled = true;
this.ButtonSaveEnd.Enabled = false;
this.ObsStart.BackColor = Color.Red;
if (!checkBoxObsAuto.Checked)
{
this.ObsStart.Enabled = false;
this.ObsEndButton.Enabled = true;
}
}
if (this.States == STOP)
{
this.buttonSave.BackColor = Color.FromKnownColor(KnownColor.Control);
this.buttonSave.Enabled = false;
this.ButtonSaveEnd.Enabled = false;
this.ObsStart.BackColor = Color.FromKnownColor(KnownColor.Control);
this.ObsStart.Enabled = true;
this.ObsEndButton.Enabled = false;
}
}
/// <summary>
/// Calculates centroid.
/// Centroid will be returned and stored in the blob structure. (cvCentroid)
/// </summary>
/// <returns>Centroid.</returns>
public CvPoint2D64f CalcCentroid()
{
Centroid = new CvPoint2D64f(M10 / Area, M01 / Area);
return Centroid;
}
/// <summary>
/// 二つのベクトルの二乗距離を返します
/// </summary>
/// <param name="first"></param>
/// <param name="second"></param>
/// <returns></returns>
public static double GetDistanceSq(CvPoint2D64f first, CvPoint2D64f second)
{
return(GetLengthSq(first - second));
}
/// <summary>
/// ベクトルのユークリッド距離における長さを返します
/// </summary>
/// <param name="vector"></param>
/// <returns></returns>
public static double GetLength(CvPoint2D64f vector)
{
return(Math.Sqrt(vector.X * vector.X + vector.Y * vector.Y));
}
/// <summary>
/// ベクトルの二乗和を返します
/// </summary>
/// <param name="vector"></param>
/// <returns></returns>
public static double GetLengthSq(CvPoint2D64f vector)
{
return(vector.X * vector.X + vector.Y * vector.Y);
}
/// <summary>
/// Calculates centroid.
/// Centroid will be returned and stored in the blob structure. (cvCentroid)
/// </summary>
/// <returns>Centroid.</returns>
public CvPoint2D64f CalcCentroid()
{
Centroid = new CvPoint2D64f(M10 / Area, M01 / Area);
return(Centroid);
}
/// <summary>
/// ベクトルのユークリッド距離における長さを返します
/// </summary>
/// <param name="vector"></param>
/// <returns></returns>
public static double GetLength(CvPoint2D64f vector)
{
return Math.Sqrt(vector.X * vector.X + vector.Y * vector.Y);
}
/// <summary>
///
/// </summary>
/// <param name="m1"></param>
/// <param name="m2"></param>
/// <param name="model"></param>
/// <returns></returns>
public override unsafe int RunKernel(CvMat m1, CvMat m2, CvMat model)
{
int count = m1.Rows * m1.Cols;
CvPoint2D64f* M = (CvPoint2D64f*)m1.DataByte;
CvPoint2D64f* m = (CvPoint2D64f*)m2.DataByte;
double* LtL = stackalloc double[9 * 9],
W = stackalloc double[9 * 9],
V = stackalloc double[9 * 9];
CvMat _LtL = new CvMat(9, 9, MatrixType.F64C1, new IntPtr(LtL));
CvMat matW = new CvMat(9, 9, MatrixType.F64C1, new IntPtr(W));
CvMat matV = new CvMat(9, 9, MatrixType.F64C1, new IntPtr(V));
CvMat _H0 = new CvMat(3, 3, MatrixType.F64C1, new IntPtr(V + (9 * 8)));
CvMat _Htemp = new CvMat(3, 3, MatrixType.F64C1, new IntPtr(V + (9 * 7)));
CvPoint2D64f cM = new CvPoint2D64f(0, 0),
cm = new CvPoint2D64f(0, 0),
sM = new CvPoint2D64f(0, 0),
sm = new CvPoint2D64f(0, 0);
for (int i = 0; i < count; i++)
{
cm.X += m[i].X; cm.Y += m[i].Y;
cM.X += M[i].X; cM.Y += M[i].Y;
}
cm.X /= count; cm.Y /= count;
cM.X /= count; cM.Y /= count;
for (int i = 0; i < count; i++)
{
sm.X += Math.Abs(m[i].X - cm.X);
sm.Y += Math.Abs(m[i].Y - cm.Y);
sM.X += Math.Abs(M[i].X - cM.X);
sM.Y += Math.Abs(M[i].Y - cM.Y);
}
if (Math.Abs(sm.X) < double.Epsilon || Math.Abs(sm.Y) < double.Epsilon ||
Math.Abs(sM.X) < double.Epsilon || Math.Abs(sM.Y) < double.Epsilon)
return 0;
sm.X = count / sm.X; sm.Y = count / sm.Y;
sM.X = count / sM.X; sM.Y = count / sM.Y;
double[] invHnorm = new double[9] { 1.0 / sm.X, 0, cm.X, 0, 1.0 / sm.Y, cm.Y, 0, 0, 1 };
double[] Hnorm2 = new double[9] { sM.X, 0, -cM.X * sM.X, 0, sM.Y, -cM.Y * sM.Y, 0, 0, 1 };
CvMat _invHnorm = new CvMat(3, 3, MatrixType.F64C1, invHnorm);
CvMat _Hnorm2 = new CvMat(3, 3, MatrixType.F64C1, Hnorm2);
Cv.Zero(_LtL);
for (int i = 0; i < count; i++)
{
double x = (m[i].X - cm.X) * sm.X, y = (m[i].Y - cm.Y) * sm.Y;
double X = (M[i].X - cM.X) * sM.X, Y = (M[i].Y - cM.Y) * sM.Y;
double[] Lx = { X, Y, 1, 0, 0, 0, -x * X, -x * Y, -x };
double[] Ly = { 0, 0, 0, X, Y, 1, -y * X, -y * Y, -y };
int j, k;
for (j = 0; j < 9; j++)
for (k = j; k < 9; k++)
LtL[j * 9 + k] += Lx[j] * Lx[k] + Ly[j] * Ly[k];
}
Cv.CompleteSymm(_LtL);
//cvSVD( &_LtL, &matW, 0, &matV, CV_SVD_MODIFY_A + CV_SVD_V_T );
Cv.EigenVV(_LtL, matV, matW);
Cv.MatMul(_invHnorm, _H0, _Htemp);
Cv.MatMul(_Htemp, _Hnorm2, _H0);
Cv.ConvertScale(_H0, model, 1.0 / _H0.DataDouble[8]);
return 1;
}
public IplImage HoughLines(IplImage src) //허프를 통한 차선 검출
{
flag_yellow = 0;
flag_white = 0;
slice = this.SliceImage(src);
hsv = this.YellowTransform(slice);
hls = this.WhiteTransform(slice);
blur = this.BlurImage(hsv);
bin = this.Binary(hsv, 50); //Adaptive Thresholding로 변환
Cv.Canny(bin, bin, 50, 200, ApertureSize.Size3);
CvMemStorage Storage = new CvMemStorage();
/* Probabilistic 검출*/
CvSeq lines = bin.HoughLines2(Storage, HoughLinesMethod.Probabilistic, 1, Math.PI / 180, 50, 100, 100);
double[] LineAngle = new double[lines.Total];
double[] LineAngle_q = new double[lines.Total];
if (lines != null)
{
for (int i = 0; i < lines.Total; i++) //검출된 모든 라인을 검사
{
CvLineSegmentPoint elem = lines.GetSeqElem <CvLineSegmentPoint>(i).Value; // 해당 라인의 데이터를 가져옴
int dx = elem.P2.X - elem.P1.X; //x좌표의 차
int dy = elem.P2.Y - elem.P1.Y; //y좌표의 차
double angle = Math.Atan2(dy, dx) * 180 / Math.PI; //기울기 구하기
LineAngle[i] = angle;
LineAngle_q[i] = angle;
}
if (lines.Total != 0)
{
Quick_Sort(LineAngle_q, lines.Total);
}
for (int i = 0; i < lines.Total; i++)
{
CvLineSegmentPoint elem = lines.GetSeqElem <CvLineSegmentPoint>(i).Value; // 해당 라인의 데이터를 가져옴
int dx = elem.P2.X - elem.P1.X; //x좌표의 차
int dy = elem.P2.Y - elem.P1.Y; //y좌표의 차
double angle = Math.Atan2(dy, dx) * 180 / Math.PI; //기울기 구하기
if (LineAngle_q[lines.Total - 1] == LineAngle[i] || LineAngle_q[0] == LineAngle[i])
{
//P2에 50을 더해도 P1보다 작거나, P2에 50을 빼도 P1보다 큰경우
if (elem.P1.Y > elem.P2.Y || elem.P1.Y < elem.P2.Y) //P1 :시작점, P2 : 도착점
{
if (Math.Abs(angle) >= 14 && Math.Abs(angle) <= 80)
{
Cv.PutText(src, "Yellow angle : " + angle.ToString(), new CvPoint(100, 50), new CvFont(FontFace.HersheyComplex, 1, 1), CvColor.Yellow);
P1 = elem.P1;
P2 = elem.P2;
d_dx = Math.Abs(P2.X - P1.X);
d_dy = Math.Abs(P2.Y - P1.Y);
while (true)
{
if (P1.Y > P2.Y)
{
if (P1.Y < src.Height)
{
if (P1.X < P2.X)
{
P1.X -= d_dx / 100;
P1.Y += d_dy / 100;
}
else
{
P1.X += d_dx / 100;
P1.Y += d_dy / 100;
}
}
else if (P2.Y > src.Height * 5 / 8)
{
if (P1.X > P2.X)
{
P2.X -= d_dx / 100;
P2.Y -= d_dy / 100;
}
else
{
P2.X += d_dx / 100;
P2.Y -= d_dy / 100;
}
}
else
{
break;
}
}
else
{
if (P2.Y < src.Height)
{
if (P1.X > P2.X)
{
P2.X -= d_dx / 100;
P2.Y += d_dy / 100;
}
else
{
P2.X += d_dx / 100;
P2.Y += d_dy / 100;
}
}
else if (P1.Y > src.Height * 5 / 8)
{
if (P1.X < P2.X)
{
P1.X -= d_dx / 100;
P1.Y -= d_dy / 100;
}
else
{
P1.X += d_dx / 100;
P1.Y -= d_dy / 100;
}
}
else
{
break;
}
}
d_dx = Math.Abs(P2.X - P1.X);
d_dy = Math.Abs(P2.Y - P1.Y);
}
flag_yellow = 1;
prev_elemLeft.P1 = P1;
prev_elemLeft.P2 = P2;
src.Line(P1, P2, CvColor.Yellow, 10, LineType.AntiAlias, 0); //P1,P2의 좌표를 가지고 사용자에게 정보를 줄수있음(ex) angle이 심하게 올라가면 차선이탈
break;
}
}
}
}
}
blur = this.BlurImage(hls);
bin = this.Binary(hls, 50); //Adaptive Thresholding로 변환
Cv.Canny(bin, bin, 50, 150, ApertureSize.Size3);
/* Probabilistic 검출*/
lines = bin.HoughLines2(Storage, HoughLinesMethod.Probabilistic, 1, Math.PI / 180, 50, 100, 100);
LineAngle = new double[lines.Total];
LineAngle_q = new double[lines.Total];
if (lines != null)
{
for (int i = 0; i < lines.Total; i++) //검출된 모든 라인을 검사
{
CvLineSegmentPoint elem = lines.GetSeqElem <CvLineSegmentPoint>(i).Value; // 해당 라인의 데이터를 가져옴
int dx = elem.P2.X - elem.P1.X; //x좌표의 차
int dy = elem.P2.Y - elem.P1.Y; //y좌표의 차
double angle = Math.Atan2(dy, dx) * 180 / Math.PI; //기울기 구하기
LineAngle[i] = angle;
LineAngle_q[i] = angle;
}
if (lines.Total != 0)
{
Quick_Sort(LineAngle_q, lines.Total);
}
for (int i = 0; i < lines.Total; i++)
{
CvLineSegmentPoint elem = lines.GetSeqElem <CvLineSegmentPoint>(i).Value; // 해당 라인의 데이터를 가져옴
int dx = elem.P2.X - elem.P1.X; //x좌표의 차
int dy = elem.P2.Y - elem.P1.Y; //y좌표의 차
double angle = Math.Atan2(dy, dx) * 180 / Math.PI; //기울기 구하기
if (LineAngle_q[lines.Total - 1] == LineAngle[i] || LineAngle_q[0] == LineAngle[i])
{
//P2에 50을 더해도 P1보다 작거나, P2에 50을 빼도 P1보다 큰경우
if (elem.P1.Y > elem.P2.Y || elem.P1.Y < elem.P2.Y) //P1 :시작점, P2 : 도착점
{
if (Math.Abs(angle) >= 14 && Math.Abs(angle) <= 80)
{
Cv.PutText(src, "Whtie angle : " + angle.ToString(), new CvPoint(100, 100), new CvFont(FontFace.HersheyComplex, 1, 1), CvColor.White);
P1 = elem.P1;
P2 = elem.P2;
d_dx = Math.Abs(P2.X - P1.X);
d_dy = Math.Abs(P2.Y - P1.Y);
while (true)
{
if (P1.Y > P2.Y)
{
if (P1.Y < src.Height)
{
if (P1.X < P2.X)
{
P1.X -= d_dx / 100;
P1.Y += d_dy / 100;
}
else
{
P1.X += d_dx / 100;
P1.Y += d_dy / 100;
}
}
else if (P2.Y > src.Height * 5 / 8)
{
if (P1.X > P2.X)
{
P2.X -= d_dx / 100;
P2.Y -= d_dy / 100;
}
else
{
P2.X += d_dx / 100;
P2.Y -= d_dy / 100;
}
}
else
{
break;
}
}
else
{
if (P2.Y < src.Height)
{
if (P1.X > P2.X)
{
P2.X -= d_dx / 100;
P2.Y += d_dy / 100;
}
else
{
P2.X += d_dx / 100;
P2.Y += d_dy / 100;
}
}
else if (P1.Y > src.Height * 5 / 8)
{
if (P1.X < P2.X)
{
P1.X -= d_dx / 100;
P1.Y -= d_dy / 100;
}
else
{
P1.X += d_dx / 100;
P1.Y -= d_dy / 100;
}
}
else
{
break;
}
}
d_dx = Math.Abs(P2.X - P1.X);
d_dy = Math.Abs(P2.Y - P1.Y);
}
flag_white = 1;
prev_elemRight.P1 = P1;
prev_elemRight.P2 = P2;
src.Line(P1, P2, CvColor.White, 10, LineType.AntiAlias, 0); //P1,P2의 좌표를 가지고 사용자에게 정보를 줄수있음(ex) angle이 심하게 올라가면 차선이탈
break;
}
}
}
}
}
if (flag_yellow == 0)
{
src.Line(prev_elemLeft.P1, prev_elemLeft.P2, CvColor.Yellow, 10, LineType.AntiAlias, 0);
}
if (flag_white == 0)
{
src.Line(prev_elemRight.P1, prev_elemRight.P2, CvColor.White, 10, LineType.AntiAlias, 0);
}
Cv.ReleaseMemStorage(Storage);
//vehicle_detection = this.VDConvert.VehicleDetect(src);
Dispose();
return(src);
}
/// <summary>
/// 1チャンネル画像のサブピクセル値を返します．座標の小数点以下が0の場合にその座標の値と等しくなります
/// </summary>
/// <param name="mat">1チャンネル画像</param>
/// <param name="point">座標</param>
/// <param name="invalidValue">無効とみなされる値</param>
/// <returns></returns>
public static double? Get2DSubPixel(CvMat mat, CvPoint2D64f point, double invalidValue)
{
int preX = (int)Math.Floor(point.X);
int preY = (int)Math.Floor(point.Y);
int postX = preX == point.X ? preX : preX + 1;
int postY = preY == point.Y ? preY : preY + 1;
double fracX = point.X - preX;
double fracY = point.Y - preY;
if (postX >= mat.Cols || postY >= mat.Rows)
{
return null;
}
double depth00 = mat[preY, preX];
double depth01 = mat[preY, postX];
double depth10 = mat[postY, preX];
double depth11 = mat[postY, postX];
if (depth00 == invalidValue || depth01 == invalidValue || depth10 == invalidValue || depth11 == invalidValue)
{
return null;
}
return CalcEx.Lerp(CalcEx.Lerp(depth00, depth01, fracX), CalcEx.Lerp(depth10, depth11, fracX), fracY);
}
/// <summary>
/// 二つのベクトルの二乗距離を返します
/// </summary>
/// <param name="first"></param>
/// <param name="second"></param>
/// <returns></returns>
public static double GetDistanceSq(CvPoint2D64f first, CvPoint2D64f second)
{
return GetLengthSq(first - second);
}
/// <summary>
/// ベクトルの二乗和を返します
/// </summary>
/// <param name="vector"></param>
/// <returns></returns>
public static double GetLengthSq(CvPoint2D64f vector)
{
return vector.X * vector.X + vector.Y * vector.Y;
}
public static double Cal_distance(CvPoint2D64f pos1, CvPoint2D64f pos2)
{
return(Math.Sqrt(((pos1.X - pos2.X) * (pos1.X - pos2.X) + (pos1.Y - pos2.Y) * (pos1.Y - pos2.Y))));
}
/// <summary>
/// Set central/hu moments and centroid value from moment values (M**)
/// </summary>
public void SetMoments()
{
// 重心
Centroid = new CvPoint2D64f(M10 / Area, M01 / Area);
// 各モーメント
U11 = M11 - (M10 * M01) / M00;
U20 = M20 - (M10 * M10) / M00;
U02 = M02 - (M01 * M01) / M00;
double m00Pow2 = M00 * M00;
N11 = U11 / m00Pow2;
N20 = U20 / m00Pow2;
N02 = U02 / m00Pow2;
P1 = N20 + N02;
double nn = N20 - N02;
P2 = nn * nn + 4.0 * (N11 * N11);
}
/// <summary>
/// 指定した点と直線の距離を返す
/// </summary>
/// <param name="point"></param>
#else
/// <summary>
/// Returns the distance between this line and the specified point
/// </summary>
/// <param name="point"></param>
#endif
public double Distance(CvPoint2D64f point)
{
return Distance(point.X, point.Y);
}
// 別スレッド処理（キャプチャー）
private void worker_DoWork(object sender, DoWorkEventArgs e)
{
BackgroundWorker bw = (BackgroundWorker)sender;
Stopwatch sw = new Stopwatch();
string str;
id = 0;
//PID送信用UDP
//バインドするローカルポート番号
// FSI_PID_DATA pid_data = new FSI_PID_DATA();
int localPort = mmFsiUdpPortMT3PV;
System.Net.Sockets.UdpClient udpc2 = null;;
/* try
* {
* udpc2 = new System.Net.Sockets.UdpClient(localPort);
*
* }
* catch (Exception ex)
* {
* //匿名デリゲートで表示する
* this.Invoke(new dlgSetString(ShowRText), new object[] { richTextBox1, ex.ToString() });
* }
*/
//videoInputオブジェクト
const int DeviceID = 0; // 0; // 3 (pro), 4(piccolo) 7(DMK)
const int CaptureFps = 30; // 30
int interval = (int)(1000 / CaptureFps / 10);
const int CaptureWidth = 640;
const int CaptureHeight = 480;
// 画像保存枚数
int mmFsiPostRec = 60;
int save_counter = mmFsiPostRec;
using (VideoInput vi = new VideoInput())
{
vi.SetIdealFramerate(DeviceID, CaptureFps);
vi.SetupDevice(DeviceID, CaptureWidth, CaptureHeight);
int width = vi.GetWidth(DeviceID);
int height = vi.GetHeight(DeviceID);
using (IplImage img = new IplImage(width, height, BitDepth.U8, 3))
using (IplImage img_dark8 = Cv.LoadImage(@"C:\piccolo\MT3V_dark.bmp", LoadMode.GrayScale))
//using (IplImage img_dark = new IplImage(width, height, BitDepth.U8, 3))
using (IplImage img_mono = new IplImage(width, height, BitDepth.U8, 1))
using (IplImage img2 = new IplImage(width, height, BitDepth.U8, 1))
// using (Bitmap bitmap = new Bitmap(width, height, PixelFormat.Format24bppRgb))
using (CvFont font = new CvFont(FontFace.HersheyComplex, 0.45, 0.45))
//using (CvWindow window0 = new CvWindow("FIFO0", WindowMode.AutoSize))
{
//this.Size = new Size(width + 12, height + 148);
double min_val, max_val;
CvPoint min_loc, max_loc;
int size = 15;
int size2x = size / 2;
int size2y = size / 2;
int crop = 20;
double sigma = 3;
long elapsed0 = 0, elapsed1 = 0;
double framerate0 = 0, framerate1 = 0;
double alfa_fr = 0.99;
sw.Start();
while (bw.CancellationPending == false)
{
if (vi.IsFrameNew(DeviceID))
{
DateTime dn = DateTime.Now; //取得時刻
vi.GetPixels(DeviceID, img.ImageData, false, true);
// 画面time表示
str = String.Format("Wide ID:{0:D2} ", id) + dn.ToString("yyyyMMdd_HHmmss_fff");// +String.Format(" ({0,000:F2},{1,000:F2}) ({2,000:0},{3,000:0})({4,0:F1})", gx, gy, max_loc.X, max_loc.Y, max_val);
img.PutText(str, new CvPoint(10, 475), font, new CvColor(0, 100, 40));
Cv.CvtColor(img, img_mono, ColorConversion.BgrToGray);
Cv.Sub(img_mono, img_dark8, imgdata.img); // dark減算
imgdata.id = ++id;
imgdata.t = dn;
imgdata.ImgSaveFlag = !(ImgSaveFlag != 0); //int->bool変換
if (fifo.Count == MaxFrame - 1)
{
fifo.EraseLast();
}
fifo.InsertFirst(imgdata);
#region 位置検出1//MinMaxLoc
/*// 位置検出
* Cv.Smooth(imgdata.img, img2, SmoothType.Gaussian, size, 0, sigma, 0);
* CvRect rect;
* if (PvMode == MyDETECT)
* {
* rect = new CvRect( (int)(gx+0.5) - size, (int)(gy+0.5) - size, size*2, size*2);
* Cv.SetImageROI(img2, rect);
* Cv.MinMaxLoc(img2, out min_val, out max_val, out min_loc, out max_loc, null);
* Cv.ResetImageROI(img2);
* max_loc.X += (int)(gx + 0.5) - size; // 基準点が(1,1)のため＋１
* max_loc.Y += (int)(gy + 0.5) - size;
* }
* else
* {
* rect = new CvRect(crop, crop, width - (crop + crop), height - (crop + crop));
* Cv.SetImageROI(img2, rect);
* Cv.MinMaxLoc(img2, out min_val, out max_val, out min_loc, out max_loc, null);
* Cv.ResetImageROI(img2);
* max_loc.X += crop; // 基準点が(1,1)のため＋１
* max_loc.Y += crop;
* }
* window0.ShowImage(img2);
*
* double m00, m10, m01;
* size2x = size2y = size / 2;
* if (max_loc.X - size2x < 0) size2x = max_loc.X;
* if (max_loc.Y - size2y < 0) size2y = max_loc.Y;
* if (max_loc.X + size2x >= width ) size2x = width -max_loc.X -1;
* if (max_loc.Y + size2y >= height) size2y = height -max_loc.Y -1;
* rect = new CvRect(max_loc.X - size2x, max_loc.Y - size2y, size, size);
* CvMoments moments;
* Cv.SetImageROI(img2, rect);
* Cv.Moments(img2, out moments, false);
* Cv.ResetImageROI(img2);
* m00 = Cv.GetSpatialMoment(moments, 0, 0);
* m10 = Cv.GetSpatialMoment(moments, 1, 0);
* m01 = Cv.GetSpatialMoment(moments, 0, 1);
* gx = max_loc.X - size2x + m10 / m00;
* gy = max_loc.Y - size2y + m01 / m00;
*/
#endregion
#region 位置検出2 //Blob
Cv.Threshold(imgdata.img, img2, threshold_blob, 255, ThresholdType.Binary); //2ms
blobs.Label(img2, imgLabel); //1.4ms
max_label = blobs.GreaterBlob();
elapsed1 = sw.ElapsedTicks; //1.3ms
if (blobs.Count > 1 && gx >= 0)
{
uint min_area = (uint)(threshold_min_area * blobs[max_label].Area);
blobs.FilterByArea(min_area, uint.MaxValue); //0.001ms
// 最適blobの選定（area大 かつ 前回からの距離小）
double x = blobs[max_label].Centroid.X;
double y = blobs[max_label].Centroid.Y;
uint area = blobs[max_label].Area;
//CvRect rect;
distance_min = ((x - gx) * (x - gx) + (y - gy) * (y - gy)); //Math.Sqrt()
foreach (var item in blobs)
{
//Console.WriteLine("{0} | Centroid:{1} Area:{2}", item.Key, item.Value.Centroid, item.Value.Area);
x = item.Value.Centroid.X;
y = item.Value.Centroid.Y;
//rect = item.Value.Rect;
distance = ((x - gx) * (x - gx) + (y - gy) * (y - gy)); //将来はマハラノビス距離
if (distance < distance_min)
{
d_val = (item.Value.Area) / max_area;
if (distance <= 25) //近距離(5pix)
{
if (d_val >= 0.4) //&& d_val <= 1.2)
{
max_label = item.Key;
distance_min = distance;
}
}
else
{
if (d_val >= 0.8 && d_val <= 1.5)
{
max_label = item.Key;
distance_min = distance;
}
}
}
//w.WriteLine("{0} {1} {2} {3} {4}", dis, dv, i, item.Key, item.Value.Area);
}
//gx = x; gy = y; max_val = area;
}
if (max_label > 0)
{
maxBlob = blobs[max_label];
max_centroid = maxBlob.Centroid;
gx = max_centroid.X;
gy = max_centroid.Y;
max_area = maxBlob.Area;
if (this.States == SAVE)
{
Pid_Data_Send();
timerSavePostTime.Stop();
timerSaveMainTime.Stop();
timerSaveMainTime.Start();
}
}
else
{
gx = gy = 0;
max_area = 0;
}
#endregion
// 画面表示
str = String.Format("ID:{0:D2} ", id) + dn.ToString("yyyyMMdd_HHmmss_fff") + String.Format(" ({0,000:F2},{1,000:F2}) ({2,000:0},{3,000:0})({4,0:F1})", gx, gy, xoa, yoa, max_area);
if (imgdata.ImgSaveFlag)
{
str += " True";
}
img.PutText(str, new CvPoint(10, 20), font, new CvColor(0, 255, 100));
img.Circle(new CvPoint((int)gx, (int)gy), 10, new CvColor(255, 255, 100));
bw.ReportProgress(0, img);
// 処理速度
elapsed0 = sw.ElapsedTicks - elapsed1; // 1frameのticks
elapsed1 = sw.ElapsedTicks;
framerate0 = alfa_fr * framerate1 + (1 - alfa_fr) * (Stopwatch.Frequency / (double)elapsed0);
framerate1 = framerate0;
str = String.Format("fr time = {0}({1}){2:F1}", sw.Elapsed, id, framerate0); //," ", sw.ElapsedMilliseconds);
//匿名デリゲートで現在の時間をラベルに表示する
this.Invoke(new dlgSetString(ShowText), new object[] { textBox1, str });
//img.ToBitmap(bitmap);
//pictureBox1.Refresh();
}
Application.DoEvents();
Thread.Sleep(interval);
}
this.States = STOP;
this.Invoke(new dlgSetColor(SetColor), new object[] { ObsStart, this.States });
this.Invoke(new dlgSetColor(SetColor), new object[] { ObsEndButton, this.States });
vi.StopDevice(DeviceID);
//udpc2.Close();
}
}
}
public static extern void cvCalibrationMatrixValues(IntPtr camera_matrix, CvSize image_size, double aperture_width, double aperture_height,
out double fovx, out double fovy, out double focal_length, out CvPoint2D64f principal_point, out double pixel_aspect_ratio);
private static unsafe int icvCompressPoints( CvPoint2D64f* ptr, byte* mask, int mstep, int count )
{
int i, j;
for( i = j = 0; i < count; i++ )
if( mask[i*mstep] != 0 )
{
if( i > j )
ptr[j] = ptr[i];
j++;
}
return j;
}