private void Magic2(object sender, EventArgs e)
{
Image <Gray, Byte> tmp = InputBGR.Convert <Gray, Byte>();
Image <Gray, Byte> new_mask = tmp.CopyBlank();
CvInvoke.BitwiseXor(CurNBM.BodyMask, newMask.Convert <Gray, Byte>().ThresholdBinary(new Gray(1), new Gray(255)), new_mask);
tmp = tmp.Copy(new_mask);
VectorOfVectorOfPoint vvop = ImgProcTools.EdgeDetection.SimplestEdgeDetection(tmp.ThresholdBinary(new Gray(1), new Gray(255)));
List <NeuronBodyMask> newNBM = NeuronSeparation.Masks.GetNeuronBodyMasks(NeuronSeparation.Converter.VVOPToListOfVOP(vvop));
NBM.InsertRange(NBM_id, newNBM);
NBM.RemoveAt(NBM_id);
}
public object[] PerformRotationCompare(double angulo, double scalex, double scaley, ref int tx, ref int ty, double skX = 0, double skY = 0, double repairFactor = 0.95)
{
SystemException exception = null;
Image <Rgba, byte> two = null;
Image <Rgba, byte> one = null;
Mat resultMat = null;
Image <Rgba, byte> canvas = null;
Mat destiny = null;
Mat compare = null;
object[] array = new object[6];
double raidus = 0;
// MCvMoments onemoment;
// MCvMoments twomoment;
int width = 0;
int height = 0;
bool repairTX = false;
bool repairTY = false;
try
{
two = UITwo;
// one = this.imgUtil.expandedOne[0];
one = UIOne;
performRotateScale(angulo, scalex, scaley, ref one);
performSkew(skX, skY, ref one);
}
catch (Exception ex)
{
exception = new SystemException(ex.Message + " at Module#1.1");
}
try
{
if (exception != null)
{
throw new Exception(exception.Message);
}
//determine bigger between one and two
width = GetBiggerWidth(ref two, ref one);
height = GetBiggerHeight(ref two, ref one);
canvas = new Image <Rgba, byte>(width, height, imgUtil.pitchBlack);
//make canvas from bigger and copy the smaller into this canvas
canvas = MakeCanvas(ref canvas, out raidus);
}
catch (Exception ex)
{
exception = new SystemException(ex.Message + " at Module#1.2");
}
try
{
if (exception != null)
{
throw new Exception(exception.Message);
}
two = canvas.CopyBlank();
destiny = performTranslate(ref tx, ref ty, repairFactor, ref two, ref one, ref repairTX, ref repairTY);
}
catch (Exception ex)
{
exception = new SystemException(ex.Message + " at Module#1.2");
}
two?.Dispose();
one?.Dispose();
try
{
if (exception != null)
{
throw new Exception(exception.Message);
}
one = UITwo;
two = canvas.CopyBlank();
//make canvas from bigger again
// Copy the bigger into the canvas
Point middle;
middle = GetMiddlePointCanvas(raidus, ref one);
Copy(ref middle, ref two, ref one);
compare = two.Mat.Clone();
// two.Dispose();
resultMat = new Mat();
CvInvoke.BitwiseXor(compare, destiny, resultMat, null);// Emgu.CV.CvEnum.CmpType.Equal);
// two = resultMat.ToImage<Rgba, byte>();
int[] counts = resultMat.ToImage <Rgba, byte>().CountNonzero();
List <int> cnt = new List <int>(counts);
array[1] = cnt.ToArray();
Mat sumaImg = new Mat();
CvInvoke.Subtract(compare, destiny, sumaImg); //.ass.ToImage<Rgba,byte>().Add(destiny.ToImage<Rgba,byte>()).Mat;
array[0] = sumaImg;
}
catch (Exception ex)
{
string previous = string.Empty;
if (exception != null)
{
previous = exception?.Message + " +++ ";
}
exception = new SystemException(previous + ex.Message + " at Module#2");
}
destiny?.Dispose();
compare?.Dispose();
resultMat?.Dispose();
two?.Dispose();
canvas?.Dispose();
array[3] = exception;
array[4] = repairTX;
array[5] = repairTY;
return(array);
}
public void Mask(Mat input, Mat mask, Mat output)
{
mask.ConvertTo(mask, DepthType.Cv8U);
CvInvoke.BitwiseXor(output, output, output);
input.CopyTo(output, mask);
}
public object[] PerformRotationCompareFUNCIONA(double angulo, double scalex, double scaley, int tx, int ty, double skX = 0, double skY = 0)
{
Image <Rgba, byte> two = null;
Image <Rgba, byte> one = null;
Mat resultMat = new Mat();
Mat destiny = null;
Mat compare = null;
object[] array = null;
double raidus = 0;
object suma = null;
object count = null;
// bool firstStepOk = false;
try
{
//VOLVI A CAMBIARLOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO////////////////////////
// one = imgUtil.expandedOne[0];
one = imgUtil.expandedOne[0];
two = UITwo;
// one = UIOne;
performRotateScale(angulo, scalex, scaley, ref one);
performSkew(skX, skY, ref one);
//determine bigger between one and two
int width = GetBiggerWidth(ref two, ref one);
int height = GetBiggerHeight(ref two, ref one);
Image <Rgba, byte> canvas = new Image <Rgba, byte>(width, height, imgUtil.pitchBlack);
// Image<Rgba, byte>[] biggerSmaller = GetBiggerSmallerImages(ref UITwo, ref one);
//make canvas from bigger and copy the smaller into this canvas
//int area = (biggerSmaller[0]).Height * (biggerSmaller[0]).Width;
two = MakeCanvas(ref canvas, out raidus);
canvas.Dispose();
///CAMBIE ESTO
Point middle = GetMiddlePointCanvas(raidus, ref one);
// Point original = new Point(middle.X, middle.Y);
middle.X = tx;
middle.Y = ty;
Copy(ref middle, ref two, ref one);
//get Mat
destiny = two.Mat.Clone();
// firstStepOk = true;
}
catch (Exception ex)
{
}
one?.Dispose();
try
{
one = UITwo;
two = two.CopyBlank();
//make canvas from bigger again
// Copy the bigger into the canvas
Point middle = GetMiddlePointCanvas(raidus, ref one);
Copy(ref middle, ref two, ref one);
compare = two.Mat.Clone();
two.Dispose();
object result = null;
CvInvoke.BitwiseXor(compare, destiny, resultMat, null); // Emgu.CV.CvEnum.CmpType.Equal);
// CvInvoke.Subtract(compare, destiny, resultMat);
// CvInvoke.BitwiseAnd(compare, destiny, resultMat, null);// Emgu.CV.CvEnum.CmpType.Equal);
// CvInvoke.Compare(compare, destiny, resultMat, Emgu.CV.CvEnum.CmpType.Equal);// Emgu.CV.CvEnum.CmpType.Equal);
// CvInvoke.Pow(resultMat, 2, resultMat);
two = resultMat.ToImage <Rgba, byte>();
suma = two.GetSum();
count = two.CountNonzero();
int area = Convert.ToInt32(1e4);
// (count as int[])[3] = area;
array = new object[] { null, count, suma };
Mat sumaImg = new Mat();
CvInvoke.Add(compare, destiny, sumaImg);//.ass.ToImage<Rgba,byte>().Add(destiny.ToImage<Rgba,byte>()).Mat;
result = sumaImg;
//result = resultMat;
array[0] = result;
// result = two.Mat.Clone();
// CvInvoke.Subtract(compare, destiny, resultMat);
}
catch (Exception ex)
{
}
destiny?.Dispose();
compare?.Dispose();
resultMat?.Dispose();
two?.Dispose();
return(array);
}
static public void EdgeXoringImage(String path, out List <int> indices_horizontal, out List <int> indices_vertical)
{
indices_horizontal = new List <int>();
indices_vertical = new List <int>();
Image <Gray, byte> eimage = new Image <Gray, byte>(path);
int height = eimage.Height;
int width = eimage.Width;
Image <Gray, byte> edge_image = new Image <Gray, byte>(eimage.Width, eimage.Height);
CvInvoke.Canny(eimage, edge_image, 50, 100);
eimage = edge_image;
Image <Gray, byte> image2 = new Image <Gray, byte>(path);
Image <Gray, byte> edge_image2 = new Image <Gray, byte>(image2.Width, image2.Height);
CvInvoke.Canny(image2, edge_image2, 50, 100);
image2 = edge_image2;
Image <Gray, byte> original = new Image <Gray, byte>(path);
Image <Gray, byte> edge_original = new Image <Gray, byte>(original.Width, original.Height);
CvInvoke.Canny(original, edge_original, 50, 100);
original = edge_original;
Dictionary <int, double> horizontal_values = new Dictionary <int, double>();
Dictionary <int, double> vertical_values = new Dictionary <int, double>();
Dictionary <int, int> trial = new Dictionary <int, int>();
int i = 1;
for (i = 1; i < height; i++)
{
Image <Gray, byte> row = new Image <Gray, byte>(1, eimage.Width);
CvInvoke.cvGetRow(eimage, row, 0);
Image <Gray, byte> xor_image = new Image <Gray, byte>(eimage.Width, eimage.Height);
Rectangle rect = new Rectangle(0, 1, eimage.Width, eimage.Height);
eimage.ROI = rect;
Image <Gray, byte> gray = eimage.Convert <Gray, byte>();
Image <Gray, byte> gray_row = row.Convert <Gray, byte>();
eimage = gray.ConcateVertical(gray_row);
CvInvoke.BitwiseXor(original, eimage, xor_image);
Gray gray_sum = xor_image.GetSum();
double intensity = gray_sum.Intensity;
vertical_values.Add(i, intensity);
}
for (i = 1; i < width; i++)
{
Image <Gray, byte> column = new Image <Gray, byte>(image2.Height, 1);
CvInvoke.cvGetCol(image2, column, 0);
Image <Gray, byte> xor_image2 = new Image <Gray, byte>(image2.Height, image2.Width);
Rectangle rect2 = new Rectangle(1, 0, image2.Width, image2.Height);
image2.ROI = rect2;
Image <Gray, byte> gray2 = image2.Convert <Gray, byte>();
Image <Gray, byte> gray_col = column.Convert <Gray, byte>();
image2 = gray2.ConcateHorizontal(gray_col);
CvInvoke.BitwiseXor(original, image2, xor_image2);
Gray gray_sum2 = xor_image2.GetSum();
double intensity2 = gray_sum2.Intensity;
horizontal_values.Add(i, intensity2);
}
var min_vertical = vertical_values.Values.Min();
var min_horizontal = horizontal_values.Values.Min();
if (min_horizontal != 0)
{
Console.WriteLine("No complete Dark in Horizontal Direction");
}
if (min_vertical != 0)
{
Console.WriteLine("No complete Dark in Vertical Direction");
}
var dictval = from x in horizontal_values
where x.Value == min_horizontal
select x;
foreach (KeyValuePair <int, double> values in dictval)
{
int key = values.Key;
indices_horizontal.Add(key);
}
var dictval2 = from x in vertical_values
where x.Value == min_vertical
select x;
foreach (KeyValuePair <int, double> values in dictval2)
{
int key = values.Key;
indices_vertical.Add(key);
}
}
