public string LoadImage()
{
string res = "";
evtMultiStart();
System.Windows.Forms.OpenFileDialog ofd = new System.Windows.Forms.OpenFileDialog();
ofd.Filter = "Image Files (*.bmp,*.png,*.jpg,*.jpeg) | *.bmp;*.png;*.jpg;*.jpeg";
if (ofd.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
res = Task <string> .Run(() =>
{
var tempimg = new Img(ofd.FileName);
RatioW = tempimg.Width / 800.0;
RatioH = tempimg.Height / 600.0;
BaseImg = tempimg; //.Resize(800, 600, Inter.Area);
ClrOriginalImg = new ColorImg(ofd.FileName); //.Resize(800, 600, Inter.Area);
return(ofd.FileName);
}).Result;
}
else
{
res = "NG";
}
evtMultiEnd();
return(res);
}
public ColorImg CenterDiffDraw(List <System.Drawing.Point> points, ColorImg img)
{
var line = new LineSegment2D(points[0], points[1]);
img.Draw(line, new Bgr(153, 51, 153), 1);
return(img);
}
public string LoadImageFromDrop(string path)
{
var ext = Path.GetExtension(path);
if (ext == ".bmp" ||
ext == ".png" ||
ext == ".jpg" ||
ext == ".jpeg")
{
BaseImg = null;
var tempimg = new Img(path);
RatioW = tempimg.Width / 800.0;
RatioH = tempimg.Height / 600.0;
BaseImg = tempimg; //.Resize(800, 600, Inter.Area);
ClrOriginalImg = new ColorImg(path); //.Resize(800, 600, Inter.Area);
return(path);
}
return("NG");
}
public void StartProcessing(Config cfg)
{
try
{
ClrImg = ClrOriginalImg.Copy();
if (BaseImg == null)
{
return;
}
var img = BaseImg.ThresholdBinary(new Gray(cfg.Threshold), new Gray(255));
//.SmoothMedian( (int)cfg.Resolution * 10 + 1 );
var contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(img, contours, null, Emgu.CV.CvEnum.RetrType.List, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxNone);
var cntrColorSet = CreateContour_ColorSet(Outercolor, Innercolor, cfg, contours);
List <VectorOfPoint> cntrlist = cntrColorSet.Item1;
List <MCvScalar> colorlist = cntrColorSet.Item2;
var centers = FindCenter(cntrlist);
var centerlist = new List <double[]>();
double textRatio = Math.Pow(Math.E, RatioW);
List <double[]> xys = new List <double[]>();
for (int i = 0; i < centers.Count(); i++)
{
CvInvoke.Circle(ClrImg, centers[i], 5, colorlist[i]);
CvInvoke.Circle(ClrImg, centers[i], (int)(5 * RatioW), colorlist[i], thickness: RatioW > 1 ? (int)RatioW : 1);
var realx = (centers[i].X * cfg.Resolution);
var realy = (centers[i].Y * cfg.Resolution);
centerlist.Add(new double[] { realx, realy });
}
double xerror;
double yerror;
if (cfg.UseLine)
{
var slope1 = (cfg.HY2 - cfg.HY1) / (cfg.HX2 - cfg.HX1);
var bias1 = cfg.HY1 - slope1 * cfg.HX1;
var slope2 = (cfg.WY2 - cfg.WY1) / (cfg.WX2 - cfg.WX1);
var bias2 = cfg.WY1 - slope2 * cfg.WX1;
var crossx = (bias2 - bias1) / (slope1 - slope2);
var crossy = slope1 * ((bias2 - bias1) / (slope1 - slope2)) + bias1;
var posx = (int)(crossx * RatioW);
var posy = (int)(crossy * RatioH);
centers.Add(new System.Drawing.Point(posx, posy));
var crossx_cvs = crossx * RatioW * cfg.Resolution;
var crossy_cvs = crossy * RatioH * cfg.Resolution;
centerlist.Add(new double[] { crossx_cvs, crossy_cvs });
CvInvoke.Circle(ClrImg, centers.Last(), 5, colorlist.Last());
CvInvoke.Circle(ClrImg, centers.Last(), (int)(5 * RatioW), colorlist.Last(), thickness: RatioW > 1 ? (int)RatioW : 1);
}
xerror = Math.Abs(centerlist[0][0] - centerlist[1][0]);
yerror = Math.Abs(centerlist[0][1] - centerlist[1][1]);
string xyerror = string.Format("X Error : {0} , Y Error : {1}", xerror.ToString("F4"), yerror.ToString("F4"));
System.Drawing.Point textposXY = new System.Drawing.Point(centers[0].X - (int)(40 * RatioW), centers[0].Y - (int)(10 * RatioH));
CvInvoke.PutText(ClrImg, xyerror, textposXY, FontFace.HersheySimplex, RatioW / 2.0, new MCvScalar(53, 251, 32), thickness: (int)(2 * RatioW));
double errorDistance = CalcDistance(centerlist);
ClrImg = CenterDiffDraw(centers, ClrImg);
System.Drawing.Point textdifpos = new System.Drawing.Point(centers[0].X + (int)(40 * RatioW), centers[0].Y + (int)(10 * RatioH));
CvInvoke.PutText(ClrImg, "Error : " + errorDistance.ToString("F4") + " (um)", textdifpos, FontFace.HersheySimplex, RatioW / 2.0, new MCvScalar(153, 51, 153), thickness: (int)(2 * RatioW));
var res = ToBitmapSource(ClrImg);
evtProcessedImg(res);
evtDistance(errorDistance);
}
catch (Exception er)
{
er.ToString().Print();
}
}
// 각 이미지마다 해상도에 맞춰서 프로세싱 하자.
public async void StartMultiProcessing(List <MultiAnalysisDatacs> srclist, Config cfg)
{
if (cfg == null)
{
System.Windows.MessageBox.Show(" Please Set Config First. ");
}
if (srclist.Count < 1)
{
return;
}
SaveFileDialog sfd = new SaveFileDialog();
sfd.Title = "Choose folder and header name of Result";
if (sfd.ShowDialog() == DialogResult.OK)
{
string basepath = Path.GetDirectoryName(sfd.FileName);
string header = Path.GetFileName(sfd.FileName);
Console.WriteLine(header);
evtMultiStart();
await Task.Run(() => {
for (int k = 0; k < srclist.Count; k++)
{
try
{
var path = srclist[k].fullname;
BaseImg = new Img(path);
RatioW = BaseImg.Width / 800.0;
RatioH = BaseImg.Height / 600.0;
//BaseImg = tempimg.Resize(800, 600, Inter.Area);
ClrOriginalImg = new ColorImg(path);//.Resize(800, 600, Inter.Area);
ClrImg = ClrOriginalImg.Copy();
// Processing
var img = BaseImg.ThresholdBinary(new Gray(cfg.Threshold), new Gray(255))
.SmoothMedian((int)cfg.Resolution * 10 + 1);
var contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(img, contours, null, Emgu.CV.CvEnum.RetrType.List, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxNone);
var cntrColorSet = CreateContour_ColorSet(Outercolor, Innercolor, cfg, contours);
List <VectorOfPoint> cntrlist = cntrColorSet.Item1;
List <MCvScalar> colorlist = cntrColorSet.Item2;
// Center
var centers = FindCenter(cntrlist);
var centerlist = new List <double[]>();
//Error
for (int i = 0; i < centers.Count(); i++)
{
CvInvoke.Circle(ClrImg, centers[i], 5, colorlist[i]);
var realx = (centers[i].X *RatioW *cfg.Resolution);
var realy = (centers[i].Y *RatioH *cfg.Resolution);
var x = realx.ToString();
var y = realy.ToString();
string xy = x + " , " + y + " (um)";
System.Drawing.Point textpos = new System.Drawing.Point(centers[i].X - 40 - (i * 25), centers[i].Y - 10 - (i * 25));
CvInvoke.PutText(ClrImg, xy, textpos, FontFace.HersheySimplex, 0.4, colorlist[i]);
centerlist.Add(new double[] { realx, realy });
}
double errorDistance = CalcDistance(centerlist);
ClrImg = CenterDiffDraw(centers, ClrImg);
System.Drawing.Point textdifpos = new System.Drawing.Point(centers[0].X + 40, centers[0].Y + 10);
CvInvoke.PutText(ClrImg, "Error : " + errorDistance.ToString("F4") + " (um)", textdifpos, FontFace.HersheySimplex, 0.4, new MCvScalar(153, 51, 153));
var res = ToBitmapSource(ClrImg);
var error = errorDistance.ToString("F4");
evtNumError(k, error);
srclist[k].error = error;
//Save Result
ClrImg.Save(basepath + "\\" + k.ToString() + "_" + header + "_" + srclist[k].name);
}
catch (Exception er)
{
er.ToString().Print();
}
}
try
{
StringBuilder stv = new StringBuilder();
stv.AppendLine("Nnmber,FileName,Error");
foreach (var item in srclist)
{
stv.AppendLine(item.no.ToString() + "," + item.name + "," + item.error);
}
File.WriteAllText(sfd.FileName + "_Result.csv", stv.ToString());
}
catch (Exception)
{
System.Windows.MessageBox.Show("Please check result file path or file is opened or not");
}
});
evtMultiEnd();
}
}
