public virtual byte[,] Morph(byte[,] input, UseMask E)
{
var image = new byte[input.GetLength(0), input.GetLength(1)];
for (var x = this.StartEnd; x < input.GetLength(0) - this.StartEnd; x++)
{
for (var y = this.StartEnd; y < input.GetLength(1) - this.StartEnd; y++)
{
switch (E)
{
case UseMask.Binary when HelperFunctions.GlobalMask[x, y] == 255:
{
var localArea = new List <float>(this.Kernel.GetLength(0) * this.Kernel.GetLength(0)); // storage of local area
for (byte i = 0; i < this.Kernel.GetLength(0); i++)
{
for (byte j = 0; j < this.Kernel.GetLength(1); j++)
{
if (HelperFunctions.GlobalMask[x - this.StartEnd + i, y - this.StartEnd + j] == 255)
{
image[x, y] = Filter(x, y, i, j, localArea, input, 100, E);
}
}
}
break;
}
// don't filter this pixel
case UseMask.Binary:
image[x, y] = input[x, y];
break;
case UseMask.Greyscale:
{
var localArea = new List <float>(this.Kernel.GetLength(0) * this.Kernel.GetLength(0)); // storage of local area
for (byte i = 0; i < this.Kernel.GetLength(0); i++)
{
for (byte j = 0; j < this.Kernel.GetLength(1); j++)
{
image[x, y] = Filter(x, y, i, j, localArea, input, HelperFunctions.GlobalMask[x, y], E); // use the mask's position as the max or min clamp value for grayscale masks
}
}
break;
}
default:
{
var localArea = new List <float>(this.Kernel.GetLength(0) * this.Kernel.GetLength(0)); // storage of local area
for (byte i = 0; i < this.Kernel.GetLength(0); i++)
{
for (byte j = 0; j < this.Kernel.GetLength(1); j++)
{
image[x, y] = Filter(x, y, i, j, localArea, input, 100, E); // Perform the normal erosion/dilation without a mask (the 100 argument here gets changed in Filter)
}
}
break;
}
}
}
}
if (this.Times > 1)
{
this.Times--;
image = Morph(image, E);
}
Console.WriteLine("[Morphology] Dilation or Erosion was applied " + this.Times + " time(s) with a " + this.Kernel.GetLength(0) + "x" + this.Kernel.GetLength(1) + " kernel with " + E + " Mask.");
HelperFunctions.GlobalMask = HelperFunctions.CropImage(HelperFunctions.GlobalMask, this.StartEnd);
return(HelperFunctions.CropImage(image, this.StartEnd));
}
private void applyButton_Click(object sender, EventArgs e)
{
if (this._inputImage == null)
{
return;
}
this._outputImage?.Dispose();
this._outputImage = new Bitmap(this._inputImage.Size.Width, this._inputImage.Size.Height);
var image = new Color[this._inputImage.Size.Width, this._inputImage.Size.Height];
var image2 = new Color[this._inputImage2.Size.Width, this._inputImage2.Size.Height];
// Setup progress bar
this.progressBar.Visible = true;
this.progressBar.Minimum = 1;
this.progressBar.Maximum = this._inputImage.Size.Width * this._inputImage.Size.Height;
this.progressBar.Value = 1;
this.progressBar.Step = 1;
// Copy input Bitmap to array
for (var x = 0; x < this._inputImage.Size.Width; x++)
{
for (var y = 0; y < this._inputImage.Size.Height; y++)
{
image[x, y] = this._inputImage.GetPixel(x, y); // Set pixel color in array at (x,y)
}
}
// Copy input Bitmap to array for the control image
for (var x = 0; x < this._inputImage2.Size.Width; x++)
{
for (var y = 0; y < this._inputImage2.Size.Height; y++)
{
image2[x, y] = this._inputImage2.GetPixel(x, y); // Set pixel color in array at (x,y)
}
}
//==================================================================================
//================================= PIPELINE =======================================
//==================================================================================
//RESET VARS FROM PREVIOUS IMAGE:
FloodFill.ObjectCount = 0;
FloodFill.Objects = new List <PictureObject>();
//===================== Preprocessing: Filtering, Segmentation =====================
var greyscale = HelperFunctions.Greyscalize(image);
HelperFunctions.GlobalMask = HelperFunctions.Greyscalize(image2);
//===================== Edge Detection =============================================
var detectSides = CannyEdge.CannyEdgeDetector(greyscale, 1, GlobalThreshold.OtsuThreshold(greyscale));
//===================== Find sides of road poles using Hough transform =============
var lines = HoughTransform.FoundLines(detectSides, 0, 0);
var cartLines = HoughExtensions.GetAllCartesianLines(lines, detectSides);
var pairs = HoughExtensions.GetPairs(cartLines, detectSides.GetLength(1));
var roughPairs = HoughExtensions.GetRoughPairs(cartLines, detectSides.GetLength(1));
//===================== Find lower and upper boundaries of poles ===================
var workingImage = BilateralFilter.BilateralFilter2D(greyscale);
workingImage = EdgeDetection.DetectEdges(HelperFunctions.Threshold(workingImage, GlobalThreshold.OtsuThreshold(workingImage)));
detectSides = HoughExtensions.CleanOutsidePairs(workingImage, roughPairs);
detectSides = FloodFill.MarkObjects(detectSides);
detectSides = FloodFill.filterObjects(detectSides);
//==================================================================================
//==================================================================================
//==================================================================================
var nDV = ValueCounter(detectSides);
this.label2.Text = "Number of distinct values: " + nDV;
Console.ForegroundColor = ConsoleColor.Magenta;
Console.WriteLine("[Done] Final image with size " + detectSides.GetLength(0) + "x" + detectSides.GetLength(1) + " and " + nDV + " distinct Values");
Console.ResetColor();
var newImage = Colorize(detectSides);
DrawBoundingBox(newImage);
var outputResized = new Bitmap(this._outputImage, detectSides.GetLength(0), detectSides.GetLength(1));
// Copy array to output Bitmap
for (var x = 0; x < newImage.GetLength(0); x++)
{
for (var y = 0; y < newImage.GetLength(1); y++)
{
outputResized.SetPixel(x, y, newImage[x, y]); // Set the pixel color at coordinate (x,y)
}
}
var g = Graphics.FromImage(outputResized);
DrawPairs(pairs, outputResized); // Draw pairs generated by hough transform
FloodFill.DrawFinal(this._inputImage, pairs);
pictureBox2.Image = this._inputImage; // Display output image - replace InputImage with OutputResized to see hough pairs and object map with bounding boxes
progressBar.Visible = true; // Hide progress bar
}
