private void reapplyToolStripMenuItem4_Click(object sender, EventArgs e)
{
//GrayscaleBT709 grayObject = new GrayscaleBT709();
//pictureBox2.Image = grayObject.Apply((Bitmap)pictureBox2.Image);
HomogenityEdgeDetector filter = new HomogenityEdgeDetector();
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
}
public Bitmap GetNewFrame(Bitmap source)
{
var source1 = Grayscale.CommonAlgorithms.RMY.Apply(source);
var newFrame = homogenityEdgeDetector.Apply(source1);
source.Dispose();
source1.Dispose();
return(newFrame);
}
public void HomogenityClickHandler(object sender, EventArgs e)
{
if (image != null)
{
Bitmap imx = new Bitmap(path);
imx = Grayscale.CommonAlgorithms.Y.Apply(imx);
HomogenityEdgeDetector gb = new HomogenityEdgeDetector();
imx = gb.Apply(imx);
if (mov != null)
{
this.WorkItem.Workspaces[WorkspaceNames.TabWorkspace].Close(mov);
}
mov = this.WorkItem.SmartParts.AddNew <ImageAView>();
mov.panAndZoomPictureBox1.Image = imx;
SmartPartInfo spi =
new SmartPartInfo("Homogenity", "MyOwnDescription");
this.WorkItem.Workspaces[WorkspaceNames.TabWorkspace].Show(mov, spi);
}
}
public static Bitmap FilterImage(Bitmap img, int filter)
{
Bitmap sourceImage = img;
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
IFilter myFilter;
Bitmap filteredImage = sourceImage;
if (filter == Filters.filters["Greyscale"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
filteredImage = sourceImage;
}
else if (filter == Filters.filters["Sepia"])
{
myFilter = new Sepia();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Invert"])
{
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Invert();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["RotateChannel"])
{
myFilter = new RotateChannels();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Threshold"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new Threshold();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["FloydFilter"])
{
FloydSteinbergColorDithering myReduction = new FloydSteinbergColorDithering();
filteredImage = myReduction.Apply(sourceImage);
}
else if (filter == Filters.filters["OrderedDithering"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new OrderedDithering();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Sharpen"])
{
myFilter = new Sharpen();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["DifferenceEdgeDetector"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new DifferenceEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["HomogenityEdgeDetector"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new HomogenityEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Sobel"])
{
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new SobelEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Jitter"])
{
myFilter = new Jitter(); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["OilPainting"])
{
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new OilPainting(); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["TextureFiltering"])
{
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Texturer(new TextileTexture(), 1.0, 0.8); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Median"])
{
sourceImage = ImageUtil.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Median();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Mean"])
{
myFilter = new Mean();
filteredImage = myFilter.Apply(sourceImage);
}
else if (filter == Filters.filters["Blur"])
{
myFilter = new GaussianBlur();
filteredImage = myFilter.Apply(sourceImage);
}
//Console.Write(filteredImage.PixelFormat.ToString());
//Console.Write(sourceImage.PixelFormat.ToString());
filteredImage = ImageUtil.convert(filteredImage, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
return(filteredImage);
}
/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="DA">The DA object can be used to retrieve data from input parameters and
/// to store data in output parameters.</param>
protected override void SolveInstance(IGH_DataAccess DA)
{
Bitmap sourceImage = null;
DA.GetData(0, ref sourceImage);
string filter = "";
DA.GetData(1, ref filter);
sourceImage = ImageUtilities.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
IFilter myFilter;
Bitmap filteredImage = sourceImage;
//Grayscale.CommonAlgorithms.Y.Apply
switch (filter)
{
case "Greyscale":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
filteredImage = sourceImage;
break;
case "Sepia":
Console.Write("Applying: " + filter);
myFilter = new Sepia();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Invert":
Console.Write("Applying: " + filter);
sourceImage = ImageUtilities.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Invert();
filteredImage = myFilter.Apply(sourceImage);
break;
case "RotateChannel":
Console.Write("Applying: " + filter);
myFilter = new RotateChannels();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Threshold": //Need Extended Version
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new Threshold();
filteredImage = myFilter.Apply(sourceImage);
break;
case "FloydFilter":
Console.Write("Applying: " + filter);
//sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
//myFilter = new FloydSteinbergColorDithering();
FloydSteinbergColorDithering myReduction = new FloydSteinbergColorDithering();
filteredImage = myReduction.Apply(sourceImage);
//filteredImage = myFilter.Apply(sourceImage);
break;
case "OrderedDithering":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new OrderedDithering();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Sharpen":
Console.Write("Applying: " + filter);
myFilter = new Sharpen();
filteredImage = myFilter.Apply(sourceImage);
break;
case "DifferenceEdgeDetector":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new DifferenceEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
break;
case "HomogenityEdgeDetector":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new HomogenityEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Sobel":
Console.Write("Applying: " + filter);
sourceImage = Grayscale.CommonAlgorithms.RMY.Apply(sourceImage);
myFilter = new SobelEdgeDetector();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Jitter":
Console.Write("Applying: " + filter);
myFilter = new Jitter(); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
break;
case "OilPainting":
Console.Write("Applying: " + filter);
myFilter = new OilPainting(); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
break;
case "TextureFiltering":
Console.Write("Applying: " + filter);
sourceImage = ImageUtilities.convert(sourceImage, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
myFilter = new Texturer(new TextileTexture(), 1.0, 0.8); //Needs Expand
filteredImage = myFilter.Apply(sourceImage);
break;
case "Median":
Console.Write("Applying: " + filter);
myFilter = new Median();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Mean":
Console.Write("Applying: " + filter);
myFilter = new Mean();
filteredImage = myFilter.Apply(sourceImage);
break;
case "Blur": //Need Extended Version
Console.Write("Applying: " + filter);
myFilter = new GaussianBlur();
filteredImage = myFilter.Apply(sourceImage);
break;
default:
Console.Write("No Filter");
break;
}
Console.Write(filteredImage.PixelFormat.ToString());
Console.Write(sourceImage.PixelFormat.ToString());
filteredImage = ImageUtilities.convert(filteredImage, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
DA.SetData(0, filteredImage);
}
public override Bitmap ApplyFilter(List <Bitmap> bitmaps)
{
HomogenityEdgeDetector filter = new HomogenityEdgeDetector();
return(filter.Apply(bitmaps[0].ConvertPixelFormat(PixelFormat.Format16bppGrayScale)));
}
private void openFileDialog1_FileOk(object sender, CancelEventArgs e)
{
loaded = new Bitmap(openFileDialog1.FileName);
pictureBox1.Image = loaded;
processed = new Bitmap(openFileDialog1.FileName);
GrayscaleBT709 g = new GrayscaleBT709();
processed = g.Apply((Bitmap)processed);
Threshold t = new Threshold(128);
processed = t.Apply((Bitmap)processed);
BlobsFiltering b = new BlobsFiltering();
b.MinWidth = 147;
b.MinHeight = 147;
b.CoupledSizeFiltering = true;
processed = b.Apply((Bitmap)processed);
HomogenityEdgeDetector h = new HomogenityEdgeDetector();
processed = h.Apply((Bitmap)processed);
pictureBox2.Image = processed;
BlobCounterBase bc = new BlobCounter();
bc.ProcessImage(processed);
Blob[] blobs = bc.GetObjectsInformation();
//5 cents 7 pieces 700-800 pixels
//10 cents 11 pieces 801-1000 pixels
//25 cents 28 pieces 1001-1200 pixels
//1 peso 13 pieces 1200-1500 pixels
//5 peso 5 pieces 1501-1700 pixels
int paybcents = 0, tencents = 0, twenypaybcents = 0, wanpeso = 0, paybpeso = 0;
foreach (Blob blob in blobs)
{
if (blob.Area >= 700 && blob.Area <= 800)
{
paybcents++;
}
else if (blob.Area >= 801 && blob.Area <= 1000)
{
tencents++;
}
else if (blob.Area >= 1001 && blob.Area <= 1200)
{
twenypaybcents++;
}
else if (blob.Area >= 1200 && blob.Area <= 1500)
{
wanpeso++;
}
else if (blob.Area >= 1501 && blob.Area <= 1700)
{
paybpeso++;
}
}
double paybcentsbalyo = paybcents * 0.05;
double tencentsbalyo = tencents * 0.1;
double twenypaybcentsbalyo = twenypaybcents * 0.25;
double wanpesobalyo = wanpeso * 1;
double paybpesobalyo = paybpeso * 5;
double total = paybcentsbalyo + tencentsbalyo + twenypaybcentsbalyo + wanpesobalyo + paybpesobalyo;
MessageBox.Show("5 cents: " + paybcents + " pieces value: " + paybcentsbalyo + "\n10 cents: " + tencents + " pieces value: " + tencentsbalyo + "\n25 cents: " + twenypaybcents + " pieces value:" + twenypaybcentsbalyo + "\n1 peso: " + wanpeso + " pieces value:" + wanpesobalyo + "\n5 peso: " + paybpeso + " pieces value:" + paybpesobalyo + "\nTotal Value: " + total);
}