public void EdgesClickHandler(object sender, EventArgs e)
{
if (image != null)
{
Bitmap imx = new Bitmap(path);
Edges gb = new Edges();
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("Edges", "MyOwnDescription");
this.WorkItem.Workspaces[WorkspaceNames.TabWorkspace].Show(mov, spi);
}
}
protected void ImageButton1_Click(object sender, ImageClickEventArgs e)
{
if (FileUpload1.HasFile)
{
string filename = "C:\\Users\\darwesh\\Documents\\Visual Studio 2010\\WebSites\\WebSite1\\Images\\" + FileUpload1.FileName;
string filedir = "C:\\Users\\darwesh\\Documents\\Visual Studio 2010\\WebSites\\WebSite1\\";
FileUpload1.SaveAs("C:\\Users\\darwesh\\Documents\\Visual Studio 2010\\WebSites\\WebSite1\\Images\\" + FileUpload1.FileName);
pixels16 = new List <ushort>();
Imagemri im = new Imagemri();
DicomDecoder dd = new DicomDecoder();
dd.DicomFileName = filename;
imageWidth = dd.width;
imageHeight = dd.height;
bitDepth = dd.bitsAllocated;
winCentre = dd.windowCentre;
winWidth = dd.windowWidth;
bool result = dd.dicomFileReadSuccess;
if (result == true)
{
im.NewImage = true;
if (bitDepth == 16)
{
pixels16.Clear();
dd.GetPixels16(ref pixels16);
byte[] buffer = new byte[pixels16.Count * 2];
byte[] temp;
ByteConverter d = new ByteConverter();
int j = 0;
for (int i = 0; i < pixels16.Count; i++)
{
temp = System.BitConverter.GetBytes(pixels16[i]);
buffer[j++] = temp[0];
buffer[j++] = temp[1];
}
if (winCentre == 0 && winWidth == 0)
{
winWidth = 4095;
winCentre = 4095 / 2;
}
}
im.SetParameters(ref pixels16, imageWidth, imageHeight, winWidth, winCentre, true);
string index = "";
foreach (string stt in dd.dicomInfo)
{
if (stt.Contains("Patient's Weight"))
{
index = stt;
}
}
string wii = index.Split(':')[1];
foreach (string stt in dd.dicomInfo)
{
if (stt.Contains("Patient's Name"))
{
index = stt;
}
}
string pn = index.Split(':')[1];;
AForge.Imaging.Filters.Grayscale g1 = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap imagew = g1.Apply(im.bmp);
int thresholding = (int)((dd.windowWidth - dd.windowCentre) * 255 / dd.windowWidth);
AForge.Imaging.Filters.Threshold thf = new AForge.Imaging.Filters.Threshold(thresholding);
Bitmap ther = thf.Apply(imagew);
BlobCounter blobCounter = new BlobCounter(ther);
Blob[] blobs = blobCounter.GetObjects(ther, false);
ImageStatistics img;
AForge.Imaging.Filters.GrayscaleToRGB d1 = new GrayscaleToRGB();
Bitmap bm = d1.Apply(imagew);
Edges s = new Edges();
Graphics gg = Graphics.FromImage(bm);
string ss = null;
Bitmap myImage = null;
Blob b;
int count = 0;
string locc = "";
foreach (Blob blob in blobs)
{
img = new ImageStatistics(blob.Image);
double perc = ((double)img.PixelsCountWithoutBlack / (double)img.PixelsCount) * 100;
if (blob.Image.Size.Height > 20 && blob.Image.Size.Width > 20 && perc > 35)
{
b = blob;
ImageStatistics st = new ImageStatistics(b.Image);
Bitmap pp = s.Apply(b.Image);
ChannelFiltering c = new ChannelFiltering(new IntRange(0, 255), new IntRange(0, 0), new IntRange(0, 0));
Bitmap pp2 = d1.Apply(pp);
c.ApplyInPlace(pp2);
pp2.MakeTransparent(Color.Black);
gg.DrawImage(pp2, b.Rectangle);
gg.Flush();
myImage = im.bmp.Clone(b.Rectangle, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
ss = ((double)(st.PixelsCountWithoutBlack) * (double)dd.pixelHeight * dd.pixelWidth).ToString();
locc = (b.Rectangle.Location.X * dd.pixelWidth).ToString() + "mm," + (b.Rectangle.Location.Y * dd.pixelHeight).ToString() + "mm";
count++;
}
}//end foreach
bm.Save(filedir + FileUpload1.FileName + ".png", ImageFormat.Png);
records r = new records();
recordsTableAdapters.recordsTableAdapter ta = new recordsTableAdapters.recordsTableAdapter();
ta.InsertRecord(pn, wii, FileUpload1.FileName, FileUpload1.FileName + ".png", "", ss, locc);
}
}
}
private void ReadAndDisplayDicomFile(string fileName, string fileNameOnly)
{
dd.DicomFileName = fileName;
bool result = dd.dicomFileReadSuccess;
if (result == true)
{
imageWidth = dd.width;
imageHeight = dd.height;
bitDepth = dd.bitsAllocated;
winCentre = dd.windowCentre;
winWidth = dd.windowWidth;
StatusLabel1.Text = fileName + ": " + imageWidth.ToString() + " X " + imageHeight.ToString();
StatusLabel1.Text += " " + bitDepth.ToString() + " bits per pixel";
userControl11.NewImage = true;
Text = "DICOM Image Viewer: " + fileNameOnly;
if (bitDepth == 16)
{
pixels16.Clear();
pixels8.Clear();
dd.GetPixels16(ref pixels16);
byte[] buffer = new byte[pixels16.Count * 2];
byte[] temp;
ByteConverter d = new ByteConverter();
int j = 0;
for (int i = 0; i < pixels16.Count; i++)
{
temp = System.BitConverter.GetBytes(pixels16[i]);
buffer[j++] = temp[0];
buffer[j++] = temp[1];
}
if (winCentre == 0 && winWidth == 0)
{
winWidth = 4095;
winCentre = 4095 / 2;
}
string index = "";
foreach (string s in dd.dicomInfo)
{
if (s.Contains("Image Number"))
{
index = s;
}
}
userControl11.SetParameters(ref pixels16, imageWidth, imageHeight, winWidth, winCentre, true, this);
if (processI && int.Parse(index.Split(':')[1]) > 9)
{
AForge.Imaging.Filters.Grayscale g1 = new Grayscale(0.2125, 0.7154, 0.0721);
AForge.Imaging.Filters.BrightnessCorrection bC = new AForge.Imaging.Filters.BrightnessCorrection(brightness);
bC.ApplyInPlace(userControl11.bmp);
Bitmap image = g1.Apply(userControl11.bmp);
thresholding = (int)((dd.windowWidth - dd.windowCentre) * 255 / dd.windowWidth) - trackBar2.Value;
label1.Text = thresholding.ToString();
AForge.Imaging.Filters.Threshold thf = new AForge.Imaging.Filters.Threshold(thresholding);
Bitmap ther = thf.Apply(image);
BlobCounter blobCounter = new BlobCounter(ther);
Blob[] blobs = blobCounter.GetObjects(ther, false);
ImageStatistics img;
AForge.Imaging.Filters.GrayscaleToRGB d1 = new GrayscaleToRGB();
Bitmap bm = d1.Apply(image);
Edges s = new Edges();
Graphics gg = Graphics.FromImage(bm);
string ss = null;
Bitmap myImage = null;
Blob b;
int count = 0;
listView1.Items.Clear();
mylesions.Clear();
Crop cut;
Bitmap Ilesion = null;
//System.Threading.Tasks.Parallel.ForEach(blobs, blob =>
foreach (Blob blob in blobs)
{
img = new ImageStatistics(blob.Image);
double perc = ((double)img.PixelsCountWithoutBlack / (double)img.PixelsCount) * 100;
textBox2.Text = perc.ToString();
if (blob.Image.Size.Height > 20 && blob.Image.Size.Width > 20 && perc > 35)
{
b = blob;
cut = new Crop(b.Rectangle);
Ilesion = g1.Apply(cut.Apply(userControl11.bmp));
ImageStatistics st = new ImageStatistics(b.Image);
Bitmap pp = s.Apply(b.Image);
ChannelFiltering c = new ChannelFiltering(new IntRange(0, 255), new IntRange(0, 0), new IntRange(0, 0));
Bitmap pp2 = d1.Apply(pp);
c.ApplyInPlace(pp2);
pp2.MakeTransparent(Color.Black);
gg.DrawImage(pp2, b.Rectangle);
gg.Flush();
myImage = userControl11.bmp.Clone(b.Rectangle, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
ss = ((double)(st.PixelsCountWithoutBlack) * (double)dd.pixelHeight * dd.pixelWidth).ToString();
ListViewItem lv = new ListViewItem(count.ToString());
lv.SubItems.Add(ss);
lv.SubItems.Add(b.Rectangle.Location.X.ToString() + "," + b.Rectangle.Location.Y.ToString());
listView1.Items.Add(lv);
Add adder = new Add(pp);
Bitmap undashes = (Bitmap)Ilesion.Clone();
adder.ApplyInPlace(Ilesion);
string locc = (b.Rectangle.Location.X * dd.pixelWidth).ToString() + "mm," + (b.Rectangle.Location.Y * dd.pixelHeight).ToString() + "mm";
mylesions.Add(new lesion((Bitmap)Ilesion.Clone(), ss, b.Rectangle.Location, locc, undashes));
count++;
}
}
textBox1.Text = "tumor size= " + ss + " mm² *" + dd.pixelDepth.ToString() + "mm";
// host.NewDocument(bmp);
// pictureBox2.Image = myImage;
pictureBox1.Image = bm;
pictureBox2.Image = Ilesion;
}
else
{
pictureBox1.Image = userControl11.bmp;
}
pictureBox1.Invalidate();
}
//userControl11.increasecontrast(200);
}
else
{
if (dd.dicmFound == false)
{
MessageBox.Show("This does not seem to be a DICOM 3.0 file. Sorry, I can't open this.");
}
else if (dd.dicomDir == true)
{
MessageBox.Show("This seems to be a DICOMDIR file, and does not contain an image.");
}
else
{
MessageBox.Show("Sorry, I can't read a DICOM file with this Transfer Syntax\n" +
"You may view the initial tags instead.");
}
//userControl11.SetParameters(ref pixels8, imageWidth, imageHeight,
// winWidth, winCentre, true, this);
}
}
/// <summary>
/// Convert a DepthImagePixel array to a bitmap.
/// Bitmap is colorize if a gradient bitmap has been set, isolines are also added as an overlay
/// </summary>
/// <param name="sourceData">DepthImagePixel array (generated by Kinect device depth sensor)</param>
protected override void Process(DepthImagePixel[] sourceData)
{
#if TRACE
this.Log().Debug("New data received to process");
#endif
Bitmap source = Utility.convertToBitmap(sourceData, (int)this.StartPoint.X, (int)this.StartPoint.Y, this.Height, this.Width, this.MinDepth, this.MaxDepth);
// Apply a blur on source image (smothing isolines and output)
Blur blur = new Blur();
source = blur.Apply(source);
// Clone bitmap, final will be colorize, than isolines will be applied
Bitmap final = source.Clone(new System.Drawing.Rectangle(0, 0, source.Width, source.Height), source.PixelFormat);
// If gradient bitmap available colorize image
if (this.Gradient != null)
{
ColorizedAlpha cAlpha = new ColorizedAlpha(this.Gradient);
final = cAlpha.Apply(final);
}
else
{
// Convert isolines to rgb (to merge with final image)
GrayscaleToRGB gtoRGB = new GrayscaleToRGB();
// apply the filter
final = gtoRGB.Apply(final);
}
if (Isolines > 0)
{
// Generate isolines (startting at level 10, step 25)
int level = (int)Math.Round((double)(255 / this.Isolines));
int step = level;
// Isolines bitmap will receive every islone generated, then added to final image
Bitmap isolines = new Bitmap(this.Width, this.Height, PixelFormat.Format8bppIndexed);
while (level < 255)
{
// Every point over level will be set to black, otherwise white (easier and faster for edge detection)
Threshold threshold = new Threshold(level);
Bitmap temp = threshold.Apply(source);
// Detect Edge using sobel alogorithmn
//SobelEdgeDetector sobel = new SobelEdgeDetector();
Edges sobel = new Edges();
temp = sobel.Apply(temp);
// Add edge bitmap to tempora
Add filter = new Add(temp);
//filter.SourcePercent = 0.6;
// apply the filter
filter.ApplyInPlace(isolines);
// Set next level value
level = level + step;
}
// Convert isolines to rgb (to merge with final image)
GrayscaleToRGB gtoRGB = new GrayscaleToRGB();
// apply the filter
Bitmap rgbIsoline = gtoRGB.Apply(isolines);
// Add isolines to final image
CustomMorph cMorph = new CustomMorph(rgbIsoline);
cMorph.SourcePercent = 0.5;
final = cMorph.Apply(final);
}
// Pass bitmap generated to UI (or other filter)
OnOutputDataReady(new BitmapReadyEventArgs(final));
}
public static Bitmap DetectEdges(Bitmap image)
{
Edges edgeDetector = new Edges();
return(edgeDetector.Apply(image));
}