private void DiagonalsAndRotation2(int type)
{
imagen.GetChannels();
extractArgs();
if (type == 0)
{
factorDiago = 0.90;
}
imagen.detect = new Detector();
Image <Rgb, byte> final = imagen.UIOne.Convert <Rgb, byte>().CopyBlank();
int resetvalor = 11;
int detectType = 2; //lines
int step = 2;
double threshold = 220;
int max = 19;
int xorder = Convert.ToInt16(xorderbox.Text);
int yorder = Convert.ToInt16(yorderbox.Text);
imagen.SobelRoutine(detectType, step, threshold, max, resetvalor, xorder, yorder);
imagen.GetDiagonalsRoutine(factorDiago);
imagen.detect.DrawDiagonals(ref final);
imagen.detect.GetAvgDiagonalsPosNeg(true);
this.rgbbox.Image = final.Bitmap;
// MessageBox.Show("1.1");
Rgb r = new Rgb(255, 255, 255);
final = final.InRange(r, r).Convert <Rgb, byte>().Clone();
this.segmentBox.Image = final.Bitmap;
//
final = final.CopyBlank();
// MessageBox.Show("1.2");
Rgb[] color = new Rgb[3];
imagen.detect.PickColorsAvg(type, ref color);
Image <Rgb, byte>[] arr = imagen.detect.DrawDetectedAvg(ref final, ref color, false);
printSteps(ref final, ref arr);
// MessageBox.Show("1.2");
imagen.FindRotation(lastSum);
this.richTextBox1.Text = imagen.detect.msgBuilder.ToString();
this.segmentBox.Image = rgbbox.Image;
//factores
Image <Rgba, byte> other = imagen.imgUtil.rotated.Clone();
ImgDB.BasicInfoRow red = imagen.BInfo.table.FirstOrDefault(o => o.Channel == 0);
ImgDB.BasicInfoRow green = imagen.BInfo.table.FirstOrDefault(o => o.Channel == 1);
ImgDB.BasicInfoRow blue = imagen.BInfo.table.FirstOrDefault(o => o.Channel == 2);
ImgDB.BasicInfoRow alpha = imagen.BInfo.table.FirstOrDefault(o => o.Channel == 3);
//imagen.imgUtil.rotated._EqualizeHist() ;
Img.ChangeColor(ref imagen.imgUtil.rotated, (float)red.Factor, (float)green.Factor, (float)blue.Factor, (float)alpha.Factor);
//imagen.UIOne = imagen.imgUtil.rotated;
this.rgbbox.Image = imagen.imgUtil.rotated.Bitmap;
// this.matrixBox.Matrix = imagen.imgUtil.rotated.Mat.Data;
imagen.imgUtil.rotated.Save(imagen.path + "\\" + imagen.curentfilename.Replace(".jpg", ".out.jpg"));
// originalBox.Image = imagen.escaledUI.Bitmap;
float sum = (float)(red.Avg + green.Avg + blue.Avg);
sum /= 3;
float rF = 1;
float gF = 1;
float bF = 1;
float AF = 1;
rF = (float)(sum / red.Avg);
gF = (float)(sum / green.Avg);
bF = (float)(sum / blue.Avg);
Img.ChangeColor(ref other, rF, gF, bF, AF);
/*
*
* // CvInvoke.CLAHE(other, 1, new Size(10, 10), other);
* double radius = Img.CalculateDiagonalLenght(other.Width, other.Height);
* radius /= 2;
* Point p = imagen.GetMiddlePointCanvas(radius, ref other);
* Rectangle rec = new Rectangle(p.X , p.Y , 2, 2);
* // Rectangle rec = new Rectangle(p.X-(p.X*1/5), p.Y+ (p.Y * 3 / 2), 150,150);
* // other.ROI = rec;
* Image<Rgba,byte> pantone = other.GetSubRect(rec);
* // other.ROI = rec;
* Point ul = new Point(rec.X, rec.Y);
* Point bl = new Point(rec.Left, rec.Bottom);
* Point ur = new Point(rec.Right, rec.Top);
* Point br = new Point(rec.Right, rec.Bottom);
* other.DrawPolyline(new Point[] { ul, bl, br, ur }, true, new Rgba(255, 0, 0, 255), 2, Emgu.CV.CvEnum.LineType.FourConnected);
* // source.CopyTo(destiny);
* // other.ROI = Rectangle.Empty;
*
*
*/
// this.segmentBox.Image = pantone.Bitmap;
this.segmentBox.Image = other.Bitmap;
}
public BasicInfo(ref Image <Rgba, byte> input)
{
table = new ImgDB.BasicInfoDataTable();
int nBins = 256;
RangeF range1 = new RangeF(0, 255);
DenseHistogram hist = new DenseHistogram(nBins, range1);
Image <Gray, byte>[] isg = input.Split();
histogramsRgba = new List <float[]>();
averagesRgba = new List <Gray>();
sdsRgba = new List <MCvScalar>();
for (short i = 0; i < isg.Count(); i++)
{
hist.Calculate(new Image <Gray, byte>[] { isg[i] }, false, null);
float[] values = hist.GetBinValues();
histogramsRgba.Add(values);
Gray gr = new Gray();
MCvScalar sd = new MCvScalar();
isg[i].AvgSdv(out gr, out sd);
averagesRgba.Add(gr);
sdsRgba.Add(sd);
ImgDB.BasicInfoRow row = table.NewBasicInfoRow();
row.Avg = gr.Intensity;
row.Histogram = values;
row.SD = sd.V0;
row.Channel = i;
if (i == 0)
{
row.ChannelName = "Red";
}
else if (i == 1)
{
row.ChannelName = "Green";
}
else if (i == 2)
{
row.ChannelName = "Blue";
}
else if (i == 3)
{
row.ChannelName = "Alpha";
}
table.AddBasicInfoRow(row);
}
//factores
float rF = 1;
float gF = 1;
float bF = 1;
float AF = 1;
ImgDB.BasicInfoRow red = table.FirstOrDefault(o => o.Channel == 0);
ImgDB.BasicInfoRow green = table.FirstOrDefault(o => o.Channel == 1);
ImgDB.BasicInfoRow blue = table.FirstOrDefault(o => o.Channel == 2);
ImgDB.BasicInfoRow alpha = table.FirstOrDefault(o => o.Channel == 3);
float sum = (float)(red.Avg + green.Avg + blue.Avg + alpha.Avg);
sum /= 4;
rF = (float)(sum / red.Avg);
gF = (float)(sum / green.Avg);
bF = (float)(sum / blue.Avg);
AF = (float)(sum / alpha.Avg);
red.Factor = rF;
green.Factor = gF;
blue.Factor = bF;
alpha.Factor = AF;
}
