private string DoWholeTissueSegmentation(Image <Bgr, byte> img, out Image <Gray, byte> mask, string filename)
{
WholeTissueSegmentation seg = new WholeTissueSegmentation(img, registrationParameters.WholeTissueSegParams);
seg.Execute();
mask = seg.GetOutput().Clone();
seg.Dispose();
string filepathMask = registrationParameters.OutputDirectory + filename;
ReadWriteUtils.WriteUMatToFile(filepathMask, mask.ToUMat());
return(filepathMask);
}
private string GetWholeParticleMaskFilename(string filename)
{
string outputFilename = ReadWriteUtils.GetOutputDirectory(_parameters, _parameters.Iteration) + "\\mask_" + Path.GetFileName(filename);
Image <Bgr, byte> image = ReadWriteUtils.ReadOpenCVImageFromFile <Bgr, byte>(filename);
WholeTissueSegmentation segImage = new WholeTissueSegmentation(image, _parameters.WholeTissueSegParams);
segImage.Execute();
segImage.GetOutput().Save(outputFilename);
segImage.Dispose();
return(outputFilename);
}
/// <summary>
/// Do segmentation of inner structures of the tissue for a given image.
/// </summary>
/// <param name="filename">image filename</param>
/// <param name="parameters">registration parameters containing segmentation params</param>
/// <returns>returns the segmentation instance</returns>
private InnerTissueSegmentation GetInnerStructureSegmentation(string filename)
{
Image <Bgr, byte> image = ReadWriteUtils.ReadOpenCVImageFromFile <Bgr, byte>(filename);
WholeTissueSegmentation segImage = new WholeTissueSegmentation(image, _parameters.WholeTissueSegParams);
segImage.Execute();
Image <Gray, byte> wholeMask = segImage.GetOutput().Clone();
segImage.Dispose();
InnerTissueSegmentation innerSegImage = new InnerTissueSegmentation(image, wholeMask, _parameters.InnerStructuresSegParams);
innerSegImage.Execute();
return(innerSegImage);
}
private void buttonPreview_Click(object sender, EventArgs e)
{
Cursor.Current = Cursors.WaitCursor;
if (image != null)
{
WholeTissueSegmentation segImage = new WholeTissueSegmentation(image, segmentationParametersWholeTissue);
segImage.Execute();
Image <Gray, byte> mask = segImage.GetOutput().Clone();
segImage.Dispose();
if (mask != null)
{
InnerTissueSegmentation seg = new InnerTissueSegmentation(image.Clone(), mask.Clone(), segmentationParametersInnerTissue);
seg.Execute();
List <UMat> result = seg.GetOutput();
UMat a = new UMat();
result[0].Clone().ConvertTo(a, Emgu.CV.CvEnum.DepthType.Cv8U);
UMat b = new UMat();
result[1].Clone().ConvertTo(b, Emgu.CV.CvEnum.DepthType.Cv8U);
seg.Dispose();
if (pictureBoxSegmentation1.Image != null)
{
this.Invoke(new MethodInvoker(delegate() {
pictureBoxSegmentation1.Image.Dispose();
pictureBoxSegmentation1.Image = null;
}));
}
pictureBoxSegmentation1.Image = a.Bitmap;
if (pictureBoxSegmentation2.Image != null)
{
this.Invoke(new MethodInvoker(delegate() {
pictureBoxSegmentation2.Image.Dispose();
pictureBoxSegmentation2.Image = null;
}));
}
pictureBoxSegmentation2.Image = b.Bitmap;
}
}
Cursor.Current = Cursors.Default;
}
private void buttonPreview_Click(object sender, EventArgs e)
{
if (mask != null)
{
mask.Dispose();
}
if (image != null)
{
Cursor.Current = Cursors.WaitCursor;
SetSegmentationParameters();
WholeTissueSegmentation segImage = new WholeTissueSegmentation(image, segmentationParameters);
segImage.Execute();
mask = segImage.GetOutput().Clone();
segImage.Dispose();
pictureBoxMask.Image = mask.Bitmap;
Cursor.Current = Cursors.Default;
}
}